Zobrazeno 1 - 10
of 80
pro vyhledávání: '"T. R., Mahesh"'
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
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
Autor:
Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia Khan, V. Vinoth Kumar, T. R. Mahesh, Ahlam Almusharraf, Eid Albalawi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-19 (2024)
Abstract Breast cancer has become the leading cause of cancer mortality among women worldwide. The timely diagnosis of such cancer is always in demand among researchers. This research pours light on improving the design of computer-aided detection (C
Externí odkaz:
https://doaj.org/article/b1bc3f6060644f508ed0d0468f0b6174
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
Autor:
Krishnamoorthy Natarajan, V. Vinoth Kumar, T. R. Mahesh, Mohamed Abbas, Nirmaladevi Kathamuthu, E. Mohan, Jonnakuti Rajkumar Annand
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract In the current century, heart-related sickness is one of the important causes of death for all humans. An estimated 17.5 million deaths occur due to heart disease worldwide. It is observed that more than 75% of peoples with average income le
Externí odkaz:
https://doaj.org/article/90385546469b438cb6419918fb8276d9
Autor:
R. Sathya, T. R. Mahesh, Surbhi Bhatia Khan, Areej A. Malibari, Fatima Asiri, Attique ur Rehman, Wajdan Al Malwi
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
The classification of brain tumors from medical imaging is pivotal for accurate medical diagnosis but remains challenging due to the intricate morphologies of tumors and the precision required. Existing methodologies, including manual MRI evaluations
Externí odkaz:
https://doaj.org/article/ba9e6e560c2645179c264fda22692542
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
Autor:
Asma Alshuhail, Arastu Thakur, R Chandramma, T R Mahesh, Ahlam Almusharraf, V Vinoth Kumar, Surbhi Bhatia Khan
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Brain tumor diagnosis using MRI scans poses significant challenges due to the complex nature of tumor appearances and variations. Traditional methods often require extensive manual intervention and are prone to human error, leading to misdia
Externí odkaz:
https://doaj.org/article/6dc137de8e614254b68748687c972765
Autor:
Syed Thouheed Ahmed, T. R. Mahesh, E. Srividhya, V. Vinoth Kumar, Surbhi Bhatia Khan, Abdullah Albuali, Ahlam Almusharraf
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices, particularly at the server and computational layers, poses a formidab
Externí odkaz:
https://doaj.org/article/806ecf1dab5648fbb1983e31e0bfca11
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