Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Santwana Gudadhe"'
1
Akademický článek
Radiomics for Parkinson's disease classification using advanced texture-based biomarkers
Autor: Sonal Gore, Aniket Dhole, Shrishail Kumbhar, Jayant Jagtap, Anuradha Thakare, Santwana Gudadhe
Publikováno v: MethodsX, Vol 11, Iss , Pp 102359- (2023)
Parkinson's disease (PD) is one of the neurodegenerative diseases and its manual diagnosis leads to time-consuming process. MRI-based computer-aided diagnosis helps medical experts to diagnose PD more precisely and fast. Texture-based radiomic analys
Externí odkaz: https://doaj.org/article/9ce8831225a443efb669a6104ddfdbc7
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2
Akademický článek
A novel machine learning-based feature extraction method for classifying intracranial hemorrhage computed tomography images
Autor: Santwana Gudadhe, Anuradha Thakare, Ahmed M. Anter
Publikováno v: Healthcare Analytics, Vol 3, Iss , Pp 100196- (2023)
One of the most serious forms of brain stroke is intracranial hemorrhage (ICH). When an artery bursts, the brain and the tissue around the artery start bleeding. This study proposes a joint feature selection strategy to classify computed tomography (
Externí odkaz: https://doaj.org/article/ed340a9d6fb64569b49cde141d9782e2
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5
Classification of Intracranial Hemorrhage CT images for Stroke Analysis with Transformed and Image-based GLCM Features
Autor: Santwana Gudadhe, Anuradha Thakare
Intracranial hemorrhage (ICH) is one of the severe types of brain stroke. Artery burst results in bleeding inside the brain and its surrounding tissue. Depending upon brain bleed location, hemorrhage gets classified. This paper presents a hybrid feat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c95cee86420b2ac3c2e5335815285f53
https://doi.org/10.21203/rs.3.rs-1234293/v1
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7
Noval Machine Learning Approach for Classifying Clinically Actionable Genetic Mutations in Cancer Patients
Autor: Hemant Baradkar, Santwana Gudadhe, Anuradha D. Thakare, Manisha Kitukale
Publikováno v: Health Informatics: A Computational Perspective in Healthcare ISBN: 9789811597343
Health Informatics
Cancer is the most concerning disease since the number of patients diagnosing with cancer is increasing. Early diagnosis and prediction of a cancer type play a key role in cancer research. The treatment or prevention revolves around the same set of t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8e27a9af31aee3f20bc94a6c390b6be8
https://doi.org/10.1007/978-981-15-9735-0_16
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8
Gender Aware CNN for Speech Emotion Recognition
Autor: Neetesh Kumar Chaurasia, Santwana Gudadhe, Chinmay Thakare, Gargi Joshi, Darshan Rathod
Publikováno v: Health Informatics: A Computational Perspective in Healthcare ISBN: 9789811597343
Health Informatics
Audio and speech analysis have been in focus for a while, with which comes many features at hand; feature selection has to be taken in account. Also a lot of advancements have been in the machine learning front, so we performed a detailed analysis of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c2227e7911263b05aaf8f39bd2619d4
https://doi.org/10.1007/978-981-15-9735-0_18
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9
Hybrid Swarm Intelligence Method for Post Clustering Content Based Image Retrieval
Autor: Anuradha D. Thakare, Shubhangi P. Meshram, Santwana Gudadhe
Publikováno v: Procedia Computer Science. 79:509-515
Content Based Image Retrieval is one of the most promising method for image retrieval where searching and retrieving images from large scale image database is a critical task. In Content Based Image Retrieval many visual feature like color, shape, an
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75953c98df074a5d21110dd6d4207fca
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