Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Suresh Guluwadi"'
Autor:
M. Latha, P. Santhosh Kumar, R. Roopa Chandrika, T. R. Mahesh, V. Vinoth Kumar, Suresh Guluwadi
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Breast cancer is a leading cause of mortality among women globally, necessitating precise classification of breast ultrasound images for early diagnosis and treatment. Traditional methods using CNN architectures such as VGG, ResNet, and Dens
Externí odkaz:
https://doaj.org/article/1962d31a075248aa9f34cd4241ec0e96
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Lung and colon cancers are leading contributors to cancer-related fatalities globally, distinguished by unique histopathological traits discernible through medical imaging. Effective classification of these cancers is critical for accurate d
Externí odkaz:
https://doaj.org/article/75d870ec60ac472da04ceb919a9ecf3b
Autor:
S. R. Sannasi Chakravarthy, N. Bharanidharan, C. Vinothini, Venkatesan Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-23 (2024)
Abstract A recent global health crisis, COVID-19 is a significant global health crisis that has profoundly affected lifestyles. The detection of such diseases from similar thoracic anomalies using medical images is a challenging task. Thus, the requi
Externí odkaz:
https://doaj.org/article/a5e896ff2c0f423798a28531a9068635
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Skin cancer stands as one of the foremost challenges in oncology, with its early detection being crucial for successful treatment outcomes. Traditional diagnostic methods depend on dermatologist expertise, creating a need for more reliable,
Externí odkaz:
https://doaj.org/article/5d535637887f4bd7ba39cc38968ef87c
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Generalized Joint Hyper-mobility (GJH) can aid in the diagnosis of Ehlers-Danlos Syndrome (EDS), a complex genetic connective tissue disorder with clinical features that can mimic other disease processes. Our study focuses on deve
Externí odkaz:
https://doaj.org/article/545da6ac8e76433b956dda45acd13035
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-21 (2024)
Abstract Lung cancer remains a leading cause of cancer-related mortality globally, with prognosis significantly dependent on early-stage detection. Traditional diagnostic methods, though effective, often face challenges regarding accuracy, early dete
Externí odkaz:
https://doaj.org/article/86b8515502e64edaa9f95d610ed1d595
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract This study addresses the critical challenge of detecting brain tumors using MRI images, a pivotal task in medical diagnostics that demands high accuracy and interpretability. While deep learning has shown remarkable success in medical image
Externí odkaz:
https://doaj.org/article/0869b91c358940fab20982b7c205cd2c
Autor:
A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T. R. Mahesh, V. Vinoth Kumar, S. Yogesh Kumaran, Suresh Guluwadi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Brain tumors pose a significant medical challenge necessitating precise detection and diagnosis, especially in Magnetic resonance imaging(MRI). Current methodologies reliant on traditional image processing and conventional machine learning e
Externí odkaz:
https://doaj.org/article/90abd025465149b196d1c30b7d02d366
Autor:
J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Purpose To detect the Marchiafava Bignami Disease (MBD) using a distinct deep learning technique. Background Advanced deep learning methods are becoming more crucial in contemporary medical diagnostics, particularly for detecting intricate a
Externí odkaz:
https://doaj.org/article/b284cce81f6a4dc18dd491b635407094
Autor:
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Breast Cancer is a significant global health challenge, particularly affecting women with higher mortality compared with other cancer types. Timely detection of such cancer types is crucial, and recent research, employing deep learning techn
Externí odkaz:
https://doaj.org/article/1507abf64dcd4f31a26eb8fbac756db2