Shao-Jer Chen - Academia.edu (original) (raw)
Papers by Shao-Jer Chen
IPPR Conference Computer Vision, Graphics, and Image Processing, Aug 18, 2013
The morphological features and image features of tissue represent meaningful characteristics in c... more The morphological features and image features of tissue represent meaningful characteristics in clinical diagnoses and researches. The high-magnification(1000X) microscopic images tissue including cells are important materials for clinical observation for the screening of various cancer. Especially the details of nuclei represent the conspicuous pathological characteristics revealing the stages of evolution of cancer disease. Referring to the clinical empirical rules of physician, this study has developed an image-based cell nuclei classification system with the high-magnification microscopic image of cell nuclei of thyroid tissue with H&E stain. The adaptive region segmentation approach was applied to extract the image of nuclei from the background and other tissues. thirteen morphological and image features of nuclei were characterized and quantified. The statistical discriminant analysis method was then applied to classify the groups based on the distribution of features. From th...
Chinese journal of radiology, 1998
In order to evaluate the variable features of perfusion defects in liver parenchyma through compu... more In order to evaluate the variable features of perfusion defects in liver parenchyma through computed tomographic arterial portography (CTAP), we collected 88 cases from July 1991 to March 1996. Thirty wedge-shaped filling defects were found in twenty-eight cases. Among them, 18 lesions were lobar or segmental. The major causes of the filling defects were portal vein (PV) invasions or thromboses (10), laminar flows (11), and arterioportal (AP) shunts (8). Nine patients had diffuse and mottled filling defects. Seven of them had liver cirrhosis. We correlated the perfusion defects with the underlying causes and hoped to understand more about the pathologic and physiologic process reflected by CTAP.
Curve-skeletons are simplilfied representations of objects, and could be very helpful in many vis... more Curve-skeletons are simplilfied representations of objects, and could be very helpful in many visualization applications. Although various algorithms for such extraction methodologies are available in the literature, they are usually fine-tuned for specific applications. In this paper, we extend our previous study on a 2D curve-skeleton extraction algorithm based on directional distance transform[1]. In addition to the shortest distance to the boundary, each pixel is extra provided with a hit angle and a direction by mimicking the water flow. Pixels with greater hit angles are considered to be feature points of the skeleton, and they are connected to form the whole skeleton under the guidance of their direction information. Finally, a thinning procedure is applied to prune the skeleton. Different parameters can be set to produce different results, making our method adaptable to objects in various shapes. Several experimental results are provided to demonstrate the feasibility of our...
Sensors, 2020
In recent years, there are several cost-effective intelligent sensing systems such as ultrasound ... more In recent years, there are several cost-effective intelligent sensing systems such as ultrasound imaging systems for visualizing the internal body structures of the body. Further, such intelligent sensing systems such as ultrasound systems have been deployed by medical doctors around the globe for efficient detection of several diseases and disorders in the human body. Even though the ultrasound sensing system is a useful tool for obtaining the imagery of various body parts, there is always a possibility of inconsistencies in these images due to the variation in the settings of the system parameters. Therefore, in order to overcome such issues, this research devises an SVM-enabled intelligent genetic algorithmic model for choosing the universal features with four distinct settings of the parameters. Subsequently, the distinguishing characteristics of these features are assessed utilizing the Sorensen-Dice coefficient, t-test, and Pearson’s R measure. It is apparent from the results ...
Journal of Medical Imaging and Health Informatics, 2018
Journal of Ultrasound in Medicine, 2005
In this study, quantitative characterization of sonographic image texture and its correlation wit... more In this study, quantitative characterization of sonographic image texture and its correlation with histopathologic findings was developed for facilitating clinical diagnosis. A statistical feature matrix was applied to quantify the texture difference (ie, the dissimilarity) of the sonographic images for malignant and benign breast tumors. Methods. Thirty-three patients were recruited for this study. Imaging was performed on a commercially available sonographic imaging system in clinical use. The parameters used for image acquisition were kept the same during clinical examination. Results. On the basis of dissimilarity values, 3 phenomena were noted in the relatively large malignancies studied. First, stellate carcinoma showed the least dissimilarity on sonographic images; second, circumscribed carcinoma showed the most dissimilarity; and third, malignant tissue mixed with fibrous and cellular parts (dense lymphocyte infiltration and prominent intraductal tumors) had dissimilarity values in between. Image textures with smaller dissimilarity values (especially for those values <4.4 in our study) are likely to be stellate carcinoma. Conclusions. From the experimental results, it is shown that the cellular and fibrous content with spatial distribution of breast masses determine the dissimilarity values on sonographic images. The dissimilarity may be used to quantitatively represent the image texture and is well correlated with the histopathologic description.
The British journal of radiology, Jan 7, 2016
In traditional surface rendering (SR) Computed tomographic endoscopy, only shape of endoluminal l... more In traditional surface rendering (SR) Computed tomographic endoscopy, only shape of endoluminal lesion is depicted without gray level information unless the volume rendering technique is used. However volume rendering technique is relatively slow and complex in terms of computation time and parameter setting. We use computed tomographic colonography (CTC) images as examples and report a new visualization technique by three dimensional (3D) gray level mapping (GM) to better identify and differentiate endoluminal lesions. There are thirty three various endoluminal cases from thirty patients evaluated in this clinical study. These cases were segmented using gray-level threshold. The marching cube algorithm was used to detect isosurfaces in volumetric data sets. GM is applied using the surface gray level of CTC. Radiologists conducted the clinical evaluation of the SR and GM images. The Wilcoxon signed ranks test was used for data analysis. Clinical evaluation confirms GM is significant...
2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2016
2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2016
Ultrasound imaging has been widely used to visualize internal body structure. In clinical practic... more Ultrasound imaging has been widely used to visualize internal body structure. In clinical practices, physicians employ ultrasound imaging to assist the diagnosis of various diseases. However, different parameter settings in sonography system may cause discrepancies in the ultrasound images. Hence, this paper proposed a GA-based method for selecting universal features under different parameter settings in sonography system. The F-score, T-test, and Correlation coefficient are used to evaluate the discriminant capability of features. Experimental results showed that the selected universal feature sets achieve high classification accuracy in various parameter settings.
2011 11th International Conference on Hybrid Intelligent Systems (HIS), 2011
... Chuan-Yu Chang1, Mao-Syuan Chang1, and Shao-Jer Chen2 1Department of Computer Science and Inf... more ... Chuan-Yu Chang1, Mao-Syuan Chang1, and Shao-Jer Chen2 1Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology 2Department of Medical Imaging, Buddhist Tzu Chi General Hospital. ... k i s i Rand N 1 (5) ...
In this paper, the feature parameters derived from the co-occurrence matrix are applied to quanti... more In this paper, the feature parameters derived from the co-occurrence matrix are applied to quantitatively characterize the texture features of the ultrasound images for breast cancer diagnosis. Further correlation with the histopathological finding is also developed for facilitating clinical diagnosis. Thirty-three patients are recruited for this study. The ultrasound imaging system in clinical use is ATL HDI 3000. The parameters
2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008
A lymph node (LN), which can resist virus and germs, is part of the lymphatic system that exists ... more A lymph node (LN), which can resist virus and germs, is part of the lymphatic system that exists in the human body and every apparatus inside it. There are many kinds of pathological changes in LN. Metastatic is one of the important indexes to estimate the stage of malignant tumors. One convenient tool to observe LN is the use olf
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
Most of the thyroid nodules are heterogeneous with various internal components, which confuse man... more Most of the thyroid nodules are heterogeneous with various internal components, which confuse many radiologists and physicians with their various echo patterns in thyroid nodules. A lot of texture extraction methods were used to characterize the thyroid nodules. Accordingly, the thyroid nodules could be classified by the corresponding textural features. In this paper, five support vector machines (SVM) were adopted
Lecture Notes in Computer Science, 2010
ABSTRACT
International journal of clinical and experimental pathology, 2014
Malignant mesonephric mixed tumor (MMMT), or mesonephric carcinosarcoma, is a rare tumor with mal... more Malignant mesonephric mixed tumor (MMMT), or mesonephric carcinosarcoma, is a rare tumor with malignant epithelial and mesenchymal components, and is found mostly in the uterine cervix. While diagnosed at the early stage in most cases, MMMT can have an aggressive course. The clinical significance of the presence of sarcomatous components remains unsettled. We report a case of MMMT of the uterine cervix in a patient who presented with tumor rupture, instead of the common presentation, vaginal bleeding. This unusual presentation has not been reported in the literature. It implies that MMMT may progress rapidly without any prodrome and pose a surgical emergency. Unlike most cervical adenocarcinomas, both mesonephric adenocarcinoma and MMMT are not related to human papilloma virus (HPV) infection. Because mesonephric neoplasms have a different etiology, their prevention, screening, and treatment should be further investigated. Thirteen cases of MMMT reported in the literature are also r...
Ultrasound in medicine & biology, 2009
In this study, the characteristic sonographic textural feature that represents the major histopat... more In this study, the characteristic sonographic textural feature that represents the major histopathologic components of the thyroid nodules was objectively quantified to facilitate clinical diagnosis and management. A total of 157 regions-of-interest thyroid ultrasound image was recruited in the study. The sonographic system used was the GE LOGIQ 700), (General Electric Healthcare, Chalfant St. Giles, UK). The parameters affecting image acquisition were kept in the same condition for all lesions. Commonly used texture analysis methods were applied to characterize thyroid ultrasound images. Image features were classified according to the corresponding pathologic findings. To estimate their relevance and performance to classification, ReliefF was used as a feature selector. Among the various textural features, the sum average value derived from co-occurrence matrix can well reflect echogenicity and can effectively differentiate between follicles and fibrosis base thyroid nodules. Fibro...
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
Thyroid diseases are prevalent among endocrine diseases. Observation and examination of histologi... more Thyroid diseases are prevalent among endocrine diseases. Observation and examination of histological tissue images can help in understanding the cause and pathogenesis of the tumor. The aim of this study was to quantify the histological image features of microscopic thyroid images in order to classify varying tissue types. Five typical histological thyroid tissues were characterized using seven image features including hue, brightness, standard deviation of brightness, entropy, energy, regularity, and fractal analysis. Statistical stepwise selection and multiple discriminant analysis were then used to classify the features. The results show all of the features are significant and our algorithm has the capability of differentiating histological tissue types. The algorithm is applied utilizing quad-tree based region splitting methods to segment the tissue regions from the heterogeneous microscopic image. The preliminary results show the system has good performance for tissue segmentation.
2009 Ninth International Conference on Hybrid Intelligent Systems, 2009
ABSTRACT
IPPR Conference Computer Vision, Graphics, and Image Processing, Aug 18, 2013
The morphological features and image features of tissue represent meaningful characteristics in c... more The morphological features and image features of tissue represent meaningful characteristics in clinical diagnoses and researches. The high-magnification(1000X) microscopic images tissue including cells are important materials for clinical observation for the screening of various cancer. Especially the details of nuclei represent the conspicuous pathological characteristics revealing the stages of evolution of cancer disease. Referring to the clinical empirical rules of physician, this study has developed an image-based cell nuclei classification system with the high-magnification microscopic image of cell nuclei of thyroid tissue with H&E stain. The adaptive region segmentation approach was applied to extract the image of nuclei from the background and other tissues. thirteen morphological and image features of nuclei were characterized and quantified. The statistical discriminant analysis method was then applied to classify the groups based on the distribution of features. From th...
Chinese journal of radiology, 1998
In order to evaluate the variable features of perfusion defects in liver parenchyma through compu... more In order to evaluate the variable features of perfusion defects in liver parenchyma through computed tomographic arterial portography (CTAP), we collected 88 cases from July 1991 to March 1996. Thirty wedge-shaped filling defects were found in twenty-eight cases. Among them, 18 lesions were lobar or segmental. The major causes of the filling defects were portal vein (PV) invasions or thromboses (10), laminar flows (11), and arterioportal (AP) shunts (8). Nine patients had diffuse and mottled filling defects. Seven of them had liver cirrhosis. We correlated the perfusion defects with the underlying causes and hoped to understand more about the pathologic and physiologic process reflected by CTAP.
Curve-skeletons are simplilfied representations of objects, and could be very helpful in many vis... more Curve-skeletons are simplilfied representations of objects, and could be very helpful in many visualization applications. Although various algorithms for such extraction methodologies are available in the literature, they are usually fine-tuned for specific applications. In this paper, we extend our previous study on a 2D curve-skeleton extraction algorithm based on directional distance transform[1]. In addition to the shortest distance to the boundary, each pixel is extra provided with a hit angle and a direction by mimicking the water flow. Pixels with greater hit angles are considered to be feature points of the skeleton, and they are connected to form the whole skeleton under the guidance of their direction information. Finally, a thinning procedure is applied to prune the skeleton. Different parameters can be set to produce different results, making our method adaptable to objects in various shapes. Several experimental results are provided to demonstrate the feasibility of our...
Sensors, 2020
In recent years, there are several cost-effective intelligent sensing systems such as ultrasound ... more In recent years, there are several cost-effective intelligent sensing systems such as ultrasound imaging systems for visualizing the internal body structures of the body. Further, such intelligent sensing systems such as ultrasound systems have been deployed by medical doctors around the globe for efficient detection of several diseases and disorders in the human body. Even though the ultrasound sensing system is a useful tool for obtaining the imagery of various body parts, there is always a possibility of inconsistencies in these images due to the variation in the settings of the system parameters. Therefore, in order to overcome such issues, this research devises an SVM-enabled intelligent genetic algorithmic model for choosing the universal features with four distinct settings of the parameters. Subsequently, the distinguishing characteristics of these features are assessed utilizing the Sorensen-Dice coefficient, t-test, and Pearson’s R measure. It is apparent from the results ...
Journal of Medical Imaging and Health Informatics, 2018
Journal of Ultrasound in Medicine, 2005
In this study, quantitative characterization of sonographic image texture and its correlation wit... more In this study, quantitative characterization of sonographic image texture and its correlation with histopathologic findings was developed for facilitating clinical diagnosis. A statistical feature matrix was applied to quantify the texture difference (ie, the dissimilarity) of the sonographic images for malignant and benign breast tumors. Methods. Thirty-three patients were recruited for this study. Imaging was performed on a commercially available sonographic imaging system in clinical use. The parameters used for image acquisition were kept the same during clinical examination. Results. On the basis of dissimilarity values, 3 phenomena were noted in the relatively large malignancies studied. First, stellate carcinoma showed the least dissimilarity on sonographic images; second, circumscribed carcinoma showed the most dissimilarity; and third, malignant tissue mixed with fibrous and cellular parts (dense lymphocyte infiltration and prominent intraductal tumors) had dissimilarity values in between. Image textures with smaller dissimilarity values (especially for those values <4.4 in our study) are likely to be stellate carcinoma. Conclusions. From the experimental results, it is shown that the cellular and fibrous content with spatial distribution of breast masses determine the dissimilarity values on sonographic images. The dissimilarity may be used to quantitatively represent the image texture and is well correlated with the histopathologic description.
The British journal of radiology, Jan 7, 2016
In traditional surface rendering (SR) Computed tomographic endoscopy, only shape of endoluminal l... more In traditional surface rendering (SR) Computed tomographic endoscopy, only shape of endoluminal lesion is depicted without gray level information unless the volume rendering technique is used. However volume rendering technique is relatively slow and complex in terms of computation time and parameter setting. We use computed tomographic colonography (CTC) images as examples and report a new visualization technique by three dimensional (3D) gray level mapping (GM) to better identify and differentiate endoluminal lesions. There are thirty three various endoluminal cases from thirty patients evaluated in this clinical study. These cases were segmented using gray-level threshold. The marching cube algorithm was used to detect isosurfaces in volumetric data sets. GM is applied using the surface gray level of CTC. Radiologists conducted the clinical evaluation of the SR and GM images. The Wilcoxon signed ranks test was used for data analysis. Clinical evaluation confirms GM is significant...
2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2016
2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2016
Ultrasound imaging has been widely used to visualize internal body structure. In clinical practic... more Ultrasound imaging has been widely used to visualize internal body structure. In clinical practices, physicians employ ultrasound imaging to assist the diagnosis of various diseases. However, different parameter settings in sonography system may cause discrepancies in the ultrasound images. Hence, this paper proposed a GA-based method for selecting universal features under different parameter settings in sonography system. The F-score, T-test, and Correlation coefficient are used to evaluate the discriminant capability of features. Experimental results showed that the selected universal feature sets achieve high classification accuracy in various parameter settings.
2011 11th International Conference on Hybrid Intelligent Systems (HIS), 2011
... Chuan-Yu Chang1, Mao-Syuan Chang1, and Shao-Jer Chen2 1Department of Computer Science and Inf... more ... Chuan-Yu Chang1, Mao-Syuan Chang1, and Shao-Jer Chen2 1Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology 2Department of Medical Imaging, Buddhist Tzu Chi General Hospital. ... k i s i Rand N 1 (5) ...
In this paper, the feature parameters derived from the co-occurrence matrix are applied to quanti... more In this paper, the feature parameters derived from the co-occurrence matrix are applied to quantitatively characterize the texture features of the ultrasound images for breast cancer diagnosis. Further correlation with the histopathological finding is also developed for facilitating clinical diagnosis. Thirty-three patients are recruited for this study. The ultrasound imaging system in clinical use is ATL HDI 3000. The parameters
2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008
A lymph node (LN), which can resist virus and germs, is part of the lymphatic system that exists ... more A lymph node (LN), which can resist virus and germs, is part of the lymphatic system that exists in the human body and every apparatus inside it. There are many kinds of pathological changes in LN. Metastatic is one of the important indexes to estimate the stage of malignant tumors. One convenient tool to observe LN is the use olf
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
Most of the thyroid nodules are heterogeneous with various internal components, which confuse man... more Most of the thyroid nodules are heterogeneous with various internal components, which confuse many radiologists and physicians with their various echo patterns in thyroid nodules. A lot of texture extraction methods were used to characterize the thyroid nodules. Accordingly, the thyroid nodules could be classified by the corresponding textural features. In this paper, five support vector machines (SVM) were adopted
Lecture Notes in Computer Science, 2010
ABSTRACT
International journal of clinical and experimental pathology, 2014
Malignant mesonephric mixed tumor (MMMT), or mesonephric carcinosarcoma, is a rare tumor with mal... more Malignant mesonephric mixed tumor (MMMT), or mesonephric carcinosarcoma, is a rare tumor with malignant epithelial and mesenchymal components, and is found mostly in the uterine cervix. While diagnosed at the early stage in most cases, MMMT can have an aggressive course. The clinical significance of the presence of sarcomatous components remains unsettled. We report a case of MMMT of the uterine cervix in a patient who presented with tumor rupture, instead of the common presentation, vaginal bleeding. This unusual presentation has not been reported in the literature. It implies that MMMT may progress rapidly without any prodrome and pose a surgical emergency. Unlike most cervical adenocarcinomas, both mesonephric adenocarcinoma and MMMT are not related to human papilloma virus (HPV) infection. Because mesonephric neoplasms have a different etiology, their prevention, screening, and treatment should be further investigated. Thirteen cases of MMMT reported in the literature are also r...
Ultrasound in medicine & biology, 2009
In this study, the characteristic sonographic textural feature that represents the major histopat... more In this study, the characteristic sonographic textural feature that represents the major histopathologic components of the thyroid nodules was objectively quantified to facilitate clinical diagnosis and management. A total of 157 regions-of-interest thyroid ultrasound image was recruited in the study. The sonographic system used was the GE LOGIQ 700), (General Electric Healthcare, Chalfant St. Giles, UK). The parameters affecting image acquisition were kept in the same condition for all lesions. Commonly used texture analysis methods were applied to characterize thyroid ultrasound images. Image features were classified according to the corresponding pathologic findings. To estimate their relevance and performance to classification, ReliefF was used as a feature selector. Among the various textural features, the sum average value derived from co-occurrence matrix can well reflect echogenicity and can effectively differentiate between follicles and fibrosis base thyroid nodules. Fibro...
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
Thyroid diseases are prevalent among endocrine diseases. Observation and examination of histologi... more Thyroid diseases are prevalent among endocrine diseases. Observation and examination of histological tissue images can help in understanding the cause and pathogenesis of the tumor. The aim of this study was to quantify the histological image features of microscopic thyroid images in order to classify varying tissue types. Five typical histological thyroid tissues were characterized using seven image features including hue, brightness, standard deviation of brightness, entropy, energy, regularity, and fractal analysis. Statistical stepwise selection and multiple discriminant analysis were then used to classify the features. The results show all of the features are significant and our algorithm has the capability of differentiating histological tissue types. The algorithm is applied utilizing quad-tree based region splitting methods to segment the tissue regions from the heterogeneous microscopic image. The preliminary results show the system has good performance for tissue segmentation.
2009 Ninth International Conference on Hybrid Intelligent Systems, 2009
ABSTRACT