original ) (raw )Spatiotemporal features of DCE-MRI for breast cancer diagnosis
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Computer Methods and Programs in Biomedicine, 2018
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Medical physics, 2012
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Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics
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EURASIP Journal on Advances in Signal Processing, 2013
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A robust and extendable framework towards fully automated diagnosis of nonmass lesions in breast DCE-MRI
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2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014
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Gabriele Piantadosi
2017
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Integration of DCE-MRI and DW-MRI Quantitative Parameters for Breast Lesion Classification
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BioMed Research International, 2015
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Informatik aktuell, 2008
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Diagnosis of Breast Masses from Dynamic Contrast-Enhanced and Diffusion-Weighted MR: A Machine Learning Approach
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PLoS ONE, 2014
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Artificial Intelligence in Medicine, 2013
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mario sansone
aging, 2013
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Model-based Region-of-interest Selection in Dynamic Breast MRI
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Journal of Computer Assisted Tomography, 2006
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Medical Physics, 2006
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A New Approach in DCE MRI Data Analysis for Differentiating Benign and Malignant Breast Lesions
Tomasz Jaunky
Klinicka onkologie, 2015
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Computerized Assessment of Breast Lesion Malignancy using DCE-MRI
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Academic Radiology, 2010
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Diffusion-weighted MRI: role in the differential diagnosis of breast lesions
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Journal of the Belgian Society of Radiology, 2014
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Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI
Anant Madabhushi
SPIE Proceedings, 2008
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Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis
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Advances in Artificial Neural Systems, 2012
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Relationship of temporal resolution to diagnostic performance for dynamic contrast enhanced MRI of the breast
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Journal of Magnetic Resonance Imaging, 2009
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Automated analysis of non-mass-enhancing lesions in breast MRI based on morphological, kinetic, and spatio-temporal moments and joint segmentation-motion compensation technique
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EURASIP Journal on Advances in Signal Processing, 2013
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Differentiation between benign and malignant breast lesions using quantitative diffusion-weighted sequence on 3 T MRI
F. Rozalli , Yang Faridah Abdul Aziz
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A Gradient-Based Approach for Breast DCE-MRI Analysis
Daniele LaForgia
Daniele La Forgia, 2018
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Automatic Lesion Detection in Breast DCE-MRI
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Lecture Notes in Computer Science, 2013
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Quantifying heterogeneity of lesion uptake in dynamic contrast enhanced MRI for breast cancer diagnosis
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Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement
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European Radiology, 2009
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Small lesions evaluation based on unsupervised cluster analysis of signal-intensity time courses in dynamic breast MRI
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International journal of biomedical imaging, 2009
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Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI
Hiroyuki Abe , Marta Zamora
Magnetic Resonance Imaging, 2007
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