seema babrekar | Dr.Babasaheb Ambedkar Marathwada University (original) (raw)

Papers by seema babrekar

International journal of innovative technology and exploring engineering, Jun 30, 2024

International journal of computer applications, Nov 17, 2020

Ultrasound waves are widely used in the field of medical sciences for diagnosis, therapeutic, and... more Ultrasound waves are widely used in the field of medical sciences for diagnosis, therapeutic, and interventional use. It is commonly used in the areas of cardiology, urology, general abdominal imaging, obstetrics and gynecology, vascular imaging, and as a guide in surgical procedures. The noninvasive, cost-effective, flexible, and radiation-free properties of ultrasonography have made it popular among healthcare professionals. The ultrasound images are generated through pulsed acoustic waves that are transmitted and received by a transducer in the ultrasound machine. However, the quality of an image is affected when ultrasound signals degrade while propagating through biological tissues. The poor image quality affects the interpretation, thereby, delaying the diagnosis and intervention in the patient. The present article discusses the basics of ultrasonography, highlights various artifacts in an ultrasound image, and reviews some methods for the enhancement of ultrasound images.

International journal of computer applications, Oct 15, 2020

Ultrasound one of the main and popular medical imaging technology that can help a physician to ch... more Ultrasound one of the main and popular medical imaging technology that can help a physician to check, diagnose and treat medical conditions. Anomaly (congenital abnormalities) is a common problem occurred in many new-borns. Anomalies if detected early can be very helpful in giving rational treatment of the newborn. Unidentified or untreated anomaly in the foetus can deteriorate the quality of life and can lead to loss of life. The latest advancements in ultrasound invest processing permits individuals to detect these abnormalities more efficiently and treat them more effectively. Some are Contrast-Enhanced Ultrasound Imaging,

Indian journal of science and technology, Jun 3, 2023

Objectives: To examine the quality of healthcare services and the features (aspects) of those ser... more Objectives: To examine the quality of healthcare services and the features (aspects) of those services, as well as the variation in those services' quality over a time. Methods: The study presents a method which includes firstly by collecting patient feedback data from the internet, and then follows preprocessing, extracting aspects of healthcare, and finally performing aspectbased sentiment analysis of healthcare. This aspect-based sentiment analysis is created to determine the pattern of aspect in a sentence using the BERT model. Healthcare services and their aspect-quality service analysis are performed here date-wise, i.e., timestamp-wide. A total of 69 physician are selected to collect the feedback and analyzed the feedback using an aspect-based sentiment analysis technique. Findings: The quality of healthcare services is frequently changing. In healthcare, for example, sometimes there is good quality service and sometimes there is worst quality service. All 69 physicians' total of 300 sentences with aspect-based sentiment scores are extracted separately after preprocessing and normalization. The aspect-wise results are shown in percentages. After that, the extracted aspect-wise percentages are shown as per date. Out of a total of 69 physicians, sample of D9, i.e., Doctor 9, patient feedback results, are shown in this paper. Novelty: This study made the aspect-based sentiment analysis score, which demonstrates the datewise, i.e., timestamp-wide variation in healthcare services. Previous research has made healthcare predictions using feedback ratings; no study has yet performed a date-wise analysis. The features, such as diagnosis, treatment, cleanliness, appointment, advice, medicine, staff service, etc., are included for analysis.

International Journal for Research in Applied Science and Engineering Technology

: Melanoma, sometimes referred to as skin cancer, is one of the most severe forms of skin disease... more : Melanoma, sometimes referred to as skin cancer, is one of the most severe forms of skin disease. Applying UV radiation to the skin effects or modifies the melanocytes, leading to uncontrolled cell growth and skin burning or shading. Some skin conditions, however less frequent than others, are still harmful because, if untreated, they will probably worsen and spread. Early on, it might not get the proper care. A biopsy is the standard procedure for finding skin cancer and it entails scraping out the patient's skin lesion and sending it for laboratory testing. This strategy is uncomfortable, difficult, and tiresome. A dermatologist must put a lot of work into treating skin cancer from melanoma. In this study, a novel approach is used to detect skin cancer using machine learning. Dermoscopy images of melanoma cancer make it easier and less tedious to detect skin cancer.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Now a day, one of the most common diseases is a brain tumor. The challenge is to identify a tumor... more Now a day, one of the most common diseases is a brain tumor. The challenge is to identify a tumor at an early stage, which is essential to receiving good care and surviving brain cancer patients. In the human body, the uncontrolled growth of cells is called a brain tumor. They have different types and characteristics and have different treatments. Medical imaging techniques play an important role in the detection of brain tumors. Although MRI (Magnetic Resonance Imaging) is frequently regarded as the best method for identifying this type of tumor, it has several drawbacks, and MRI images are more sensitive to ambient noise and other disruptions. As a result, it is challenging for doctors to identify the tumor and its origin.

SSRN Electronic Journal, 2019

of Thesis Entitled “Studies of Different Aspects of Image Analysis in Digital Image Processing”

Turkish Online Journal of Qualitative Inquiry, Aug 7, 2021

IFIP Advances in Information and Communication Technology

2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), 2017

A huge amount of data used in every day due to advanced camera capturing technique use in medical... more A huge amount of data used in every day due to advanced camera capturing technique use in medical field to a reliable managed and quick analysis of 2D/3D medical data. It has become a challenging task for doctors. In this paper mostly images are stored in database the purpose is to retrieve desired images from a large image database using only the numerical content of images and it handle to large image scale retrieval system is to be done automatically mapper and reduce function is sort generated to be a key, value function, system aggregate and make sort of result from mapper. Content based medical image retrieval system use only image processing method to handle manual process to diagnosis brain tumor images to help doctors to understand the problem and it help in decision making.

International journal of engineering research and technology, 2013

Growing concern the world over, related to personal and property safety has propelled rapid growt... more Growing concern the world over, related to personal and property safety has propelled rapid growth of security and surveillance related technologies. The biometric system is one such that can provide accurate and reliable scheme for person verification. The main aim . Introduction of fingerprint,introduction watermark, & digital signatures. .[1] Keyword: cryptography, Watermarking, public-key cryptosystems. Introduction:While the rapid development and deployment of new IT technologies has improved the ease of access to digital information, it has also led to fears that copyright could be eroded by the illegal copying and redistribution of digital media. This is of particular concern, for example, to commercial publishers of digital audio and video content whose existence depends on defending the copyright of their information assets. If content owners cannot be assured that they will be properly compensated for use of their works, they will be unlikely to make these available for ac...

The abstract should summarize the content of the paper. Try to keep the abstract below nowadays, ... more The abstract should summarize the content of the paper. Try to keep the abstract below nowadays, computer vision and digital image processing are useful for content based image retrieval. Basically, computer vision systems try to retrieve an image to a user-defined specification or pattern (e.g., shape sketch, image color etc.). The goal of computer vision is to support image retrieval based on content properties like; shape, color, textures usually en coded in the form of feature vectors. Content based image retrieval (CBIR) considers the characteristics of the image itself, for example its shapes, colors and textures. In this study various techniques are used for feature extractions of CBIR images.

International journal of engineering research and technology, 2014

Human system is made up of many organs, of all brain is the first and the leading controller of t... more Human system is made up of many organs, of all brain is the first and the leading controller of the human system. Overload cells growing in an uncontrolled manner in brain is called as brain tumor. MRI brain tumor image can be evaluated only by expert physicians. In medical image processing brain tumor detection is one of the challenging tasks. Sometime MRI brain images corrupted by some noise. In this paper we specially focus on detecting tumor from brain MRI images. Proposed algorithm performs pre-processing operations on brain MRI images to remove noise from MRI images with the help of median filter, logarithmic transform and then by applying segmentation for detecting tumor from brain MRI image by using thresholding. Using thresholding techniques extraction of the tumor takes place and then calculates the tumor area. An online database is used and for result analysis used receiver operating characteristic ROC curve, and this algorithm achieves 80% with respect to sensitivity and...

The current era of medical science computer plays an important role in disease identification. Th... more The current era of medical science computer plays an important role in disease identification. The accuracy and robustness of the medical test is improved with the help of computer. The significant cause of chronic kidney dieses is the diabetic nephropathy. The diabetic nephropathy has the end stage of renal failure. The research has been done to identification of causes of diabetic nephropathy. The computational technology enhances its usability towards the diabetic nephropathy research. The research has been executed on dataset of 226 images. The classifier has been applied over the geometric features like area, perimeter, eccentricity, perimeter, mean, standard deviation and correlation etc. The neural network used for classification of the dataset. The classification has been done for 10, 15 ad 20 hidden layer variation. The performance is calculated using True positive and true negative statistical measure. The classier is extracted 0.1133% error rate and 88.66% accuracy over t...

Building detection from satellite image is tedious task because constructed buildings are of diff... more Building detection from satellite image is tedious task because constructed buildings are of different size and having different shapes. In this study used different image processing techniques like thresholding, morphological opening operation is uses for identify shapes of building because morphological operation is dealing with the shape. The high resolution images are used for extracting the buildings and count the total building found. The count of the building found with the help of the counting the bounded elements of the image.

2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on

the aim of this paper is to study and compare people’s opinions on Indian Government Schemes to e... more the aim of this paper is to study and compare people’s opinions on Indian Government Schemes to evaluate the reputation of Schemes using sentiment analysis. In this research paper developed on social media twitter datasets of particular schemes and its polarity of sentiments. Popularity of Internet has been rapidly increased. Sentiment analysis and opinion mining is the field of study that analyses people's opinions, sentiments, evaluations and attitudes, from written English language. The proposed research classify recent opinions into different categories based on Twitter datasets, positive polarity of schemes, and Negative polarity of schemes and Neutral Polarity of Schemes. In this research worked on Sentiment Analysis for the purpose of prediction of 2019 Indian election. For that proposed work used sentiment analysis score technique. Sentiment Analysis is the computational evaluations of opinions, feedbacks, discussions, emotions present in the text. From text to find the meaningful sentence polarity is important task. Sentiment analysis over Twitter offers people a fast and effective way to measure the public’s feelings towards their party and politicians. Here we have eight major schemes and their last three years twitter datasets from year 2016 to year 2018. All the twitter datasets are created by own during research work. On the basis of that data and its polarity. Found meaningful patterns and we get easy prediction to 2019 Indian Election. We were used this sentiment classifier for finding political sentiment from real time tweets. In the field of politics, where political entities need to understand public opinion and thus determine their campaigning strategy. Sentiment analysis on social media data has been seen by many as an effective tool to monitor user preferences and inclination. For this eight schemes for prediction that are GST, Demonetization, Digital India, Make In India, Startup India, Swacha Bharat, Kashmir, Yoga Day with minimum 1500 tweets are compared. Finally for prediction purpose we focused on Positive and Negative polarity of datasets and this is base for prediction of 2019 Indian election.

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY

We propose a method to automatically locate the Optic Disc (OD) in fundus images of the retina. B... more We propose a method to automatically locate the Optic Disc (OD) in fundus images of the retina. Based on the properties of the OD, our proposed method includes edge detection using the Canny method, and detection of circles using the Hough transform. The Hough transform assists in the detection of the center and radius of a circle that approximates the margin of the OD. Based on the feature that the OD is one of the brightest areas in fundus image, the potential circles can be detected by Hough transform.

2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)