Zobrazeno 1 - 10
of 348
pro vyhledávání: '"Surbhi Bhatia"'
Autor:
Badar Almarri, Gaurav Gupta, Ravinder Kumar, Vandana Vandana, Fatima Asiri, Surbhi Bhatia Khan
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Breast cancer prediction and diagnosis are critical for timely and effective treatment, significantly impacting patient outcomes. Machine learning algorithms have become powerful tools for improving the prediction and diagnosis of breast can
Externí odkaz:
https://doaj.org/article/20864fa50d4f4d9c8befb5138895046a
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
Autor:
Yogesh Kumaran S, J. Jospin Jeya, Mahesh T R, Surbhi Bhatia Khan, Saeed Alzahrani, Mohammed Alojail
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Medical imaging stands as a critical component in diagnosing various diseases, where traditional methods often rely on manual interpretation and conventional machine learning techniques. These approaches, while effective, come with inherent
Externí odkaz:
https://doaj.org/article/c9c175d940e045979152f8be7e06c164
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
Autor:
Badar Almarri, Baskaran Naveen Kumar, Haradi Aditya Pai, Surbhi Bhatia Khan, Fatima Asiri, Thyluru Ramakrishna Mahesh
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Retinal vessel segmentation is a critical task in fundus image analysis, providing essential insights for diagnosing various retinal diseases. In recent years, deep learning (DL) techniques, particularly Generative Adversarial Networks (GANs), have g
Externí odkaz:
https://doaj.org/article/952dc45004824587bef859fee7d2dc6d
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:
Eid Albalawi, Mahesh T.R., Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Accurate diagnosis is vital for effective treatment planning but is often hindered by the complex nature of tumor morphology and variations in
Externí odkaz:
https://doaj.org/article/15c54cc3449f436ba6827f7deb5420dc
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:
Fayez Alfayez, Surbhi Bhatia Khan
Publikováno v:
Alexandria Engineering Journal, Vol 95, Iss , Pp 59-71 (2024)
Research on intelligent secured virtual assistant (ISVA) systems for disabled people is essential in order to meet the special requirements and overcome the difficulties they confront. The delicate nature of user interactions makes security and priva
Externí odkaz:
https://doaj.org/article/c6ba98ef94304e83b74df5741f38e9d5
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-18 (2024)
Abstract This in-depth study journey explores the context of natural language processing and text analysis in dementia detection, revealing their importance in a variety of fields. Beginning with an examination of the widespread and influence of text
Externí odkaz:
https://doaj.org/article/97f665c80d114d7f91d99e2d03e7d940