Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Samir S. Yadav"'
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Akademický článek
Deep convolutional neural network based medical image classification for disease diagnosis
Autor: Samir S. Yadav, Shivajirao M. Jadhav
Publikováno v: Journal of Big Data, Vol 6, Iss 1, Pp 1-18 (2019)
Abstract Medical image classification plays an essential role in clinical treatment and teaching tasks. However, the traditional method has reached its ceiling on performance. Moreover, by using them, much time and effort need to be spent on extracti
Externí odkaz: https://doaj.org/article/89f5c16cab3647c3a0dcb787d9072b9c
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2
Thermal infrared imaging based breast cancer diagnosis using machine learning techniques
Autor: Samir S. Yadav, Shivajirao M. Jadhav
Publikováno v: Multimedia Tools and Applications. 81:13139-13157
The human’s temperature is little known and important to the diagnosis of diseases, according to most researchers and health workers.In ancient medicine, doctors may treat patients with wet mud or slurry clay. The part that would dry up first was c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e786d50bb24b8f4284d7a47148862c50
https://doi.org/10.1007/s11042-020-09600-3
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4
Machine Learning based Malaria Prediction using Clinical Findings
Autor: Vinod J. Kadam, Samir S. Yadav, Prasad R. Pathak, Shivajirao M. Jadhav, Sagar Jagtap
Publikováno v: 2021 International Conference on Emerging Smart Computing and Informatics (ESCI).
Even today, Malaria is the most deadly disease in Asia and sub-Saharan Africa and particularly in Senegal. This is mainly due to inadequate medical care support with frequent late and error-diagnoses by medical professionals. Besides, mostly used dia
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9e6f3cee04165b7f23595da7c1ff12d6
https://doi.org/10.1109/esci50559.2021.9396850
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5
Application of Deep Convulational Neural Network in Medical Image Classification
Autor: Vaishali Sugat Pawar, Sitaram B. More, Rahul Rathod, Samir S. Yadav, Sugat Ramrao Pawar
Publikováno v: 2021 International Conference on Emerging Smart Computing and Informatics (ESCI).
The convolution networks make a great success in image classification since AlexNet proposed for classification in ImageNet challenge. This End-to-End training method makes the researcher focus more on how to build an efficient network. The user focu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e16bb1444f579776162ce96e9bc1d1c
https://doi.org/10.1109/esci50559.2021.9396854
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6
Convolutional Neural Networks Based Diagnosis of Myocardial Infarction in Electrocardiograms
Autor: Samir S. Yadav, Sanjay R. Sutar, Sitaram B. More, Shivajirao M. Jadhav
Publikováno v: 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS).
Myocardial infarction also called heart attack, is the most dangerous Coronary heart disease for humans beings. Portable Electrocardiogram(ECG) device is useful for the identification and control of ECG signals for myocardial infarction. These ECG si
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f7293f2f822af26379e7ea18819a968e
https://doi.org/10.1109/icccis51004.2021.9397193
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7
Bayesian Deep Learning Based Convolutional Neural Network for Classification of Parkinson’s Disease Using Functional Magnetic Resonance Images
Autor: Samir S. Yadav
Publikováno v: SSRN Electronic Journal.
The primary aim of functional magnetic resonance imaging (fMRI) in a rest state is to analyze brain functioning using transient similarities in different areas of the brain as blood oxygenation level-dependent (BOLD) signals as a measure of synchrono
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::be1c65e11f0083fff2d27dafb0ec9c31
https://doi.org/10.2139/ssrn.3833760
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9
Chest X-ray scanning based detection of COVID-19 using deepconvolutional neural network
Autor: Yadunath Pathak, Shivajirao M. Jadhav, Jasminder Kaur Sandhu, Samir S. Yadav
Everyone’s life on earth influenced by a global coronavirus outbreak COVID- 19. Two regular practices, pathology tests, and Computer Tomography (CT) scan used to diagnose COVID-19. Pathology tests produce a considerable amount of false-positives &
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ef68ed81f6c115d4f92311727c48d0e8
https://doi.org/10.21203/rs.3.rs-58833/v1
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10
Automated Cardiac Disease Diagnosis Using Support Vector Machine
Autor: Shivani T. Chaudhari, Rohit G. Bonde, Shivajirao M. Jadhav, Samir S. Yadav
Publikováno v: 2020 3rd International Conference on Communication System, Computing and IT Applications (CSCITA).
This research is intended for the creation of an automatic cardiovascular disease detection system with pre-marked SPECT (Single photon emission computed tomography)data for training the program and for subsequently supplying it with unclassified SPE
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ff359dd979aac0c087ad74a0b79df361
https://doi.org/10.1109/cscita47329.2020.9137817
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