Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Fatima Asiri"'
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:
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:
Badar Almarri, Gaurav Gupta, Ravinder Kumar, Vandana Vandana, Fatima Asiri, Surbhi Bhatia Khan
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/00332ce019c140f8aaa4ca3cc4f1444f
Autor:
Olga Vriz, Andrea Rossi Zadra, Abdalla Eltayeb, Fatima Asiri, Claudio Pragliola, Nader Fawzy, Domenico Galzerano, Khalid Feras, Zohair Alhalees, Abdulhalim J. Kinsara, Fadl Elmula Mohamed Fadl Elmula
Publikováno v:
Monaldi Archives for Chest Disease (2021)
Stuck valve is a very rare and severe complication that occurs in mechanical valve replacement patients with ineffective anticoagulation. However, with COVID-19 restriction measures, it became challenging to regularly assess INR to make sure it falls
Externí odkaz:
https://doaj.org/article/bb8beffdb28c467b9f40280e1c639f8f
Autor:
Sujit Biswas, Zigang Yao, Lin Yan, Abdulmajeed Alqhatani, Anupam Kumar Bairagi, Fatima Asiri, Mehedi Masud
Publikováno v:
Electronics
Volume 12
Issue 4
Pages: 1036
Volume 12
Issue 4
Pages: 1036
The widespread usage of smart devices with various city-centric services speeds up and improves civic life, in contrast to growing privacy and security concerns. Security issues are exacerbated when e-government service providers trade their services
Autor:
Olga, Vriz, Andrea, Rossi Zadra, Abdalla, Eltayeb, Fatima, Asiri, Claudio, Pragliola, Nader, Fawzy, Domenico, Galzerano, Khalid, Feras, Zohair, Alhalees, Abdulhalim J, Kinsara, Fadl Elmula Mohamed Fadl, Elmula
Publikováno v:
Monaldi Archives for Chest Disease (2021)
Stuck valve is a very rare and severe complication that occurs in mechanical valve replacement patients with ineffective anticoagulation. However, with COVID-19 restriction measures, it became challenging to regularly assess INR to make sure it falls
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd06fea6750b6d64e2b3305bdadf9894
https://www.monaldi-archives.org/index.php/macd/article/view/2065
https://www.monaldi-archives.org/index.php/macd/article/view/2065
Autor:
Fatima Asiri, A. El-Sayed Ahmed
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 14:2759-2765
Autor:
Fatima Asiri, David E. Millard
Publikováno v:
2018 21st Saudi Computer Society National Computer Conference (NCC).
With the emergence of Social Networking Sites (SNSs), privacy management has been a great area of concern for SNSs’ population. Moreover, most of the studies reach contradictory findings regarding how people regulate their online privacy. This lack
Autor:
Fatima Asiri, A. El-Sayed Ahmed
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 12:4250-4255