Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohamed Abou El-Ghar"'
Autor:
Mohamed Abou El-Ghar, Ayman El-Baz, Islam R. Abdelmaksoud, Ali Mahmoud, Moumen T. El-Melegy, Ahmed Shalaby, Norah Saleh Alghamdi, Mohammed Elmogy, Ahmed Aboelfetouh
Publikováno v:
Sensors, Vol 21, Iss 3664, p 3664 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 11
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 11
Background and Objective: The use of computer-aided detection (CAD) systems can help radiologists make objective decisions and reduce the dependence on invasive techniques. In this study, a CAD system that detects and identifies prostate cancer from
Autor:
Mohammed Ghazal, Moumen T. El-Melegy, Fahmi Khalifa, Ayman El-Baz, K. Hammouda, Mohamed Abou El-Ghar, H. E. Darwish
Publikováno v:
Sensors
Volume 21
Issue 20
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 6708, p 6708 (2021)
Volume 21
Issue 20
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 6708, p 6708 (2021)
Prostate cancer is a significant cause of morbidity and mortality in the USA. In this paper, we develop a computer-aided diagnostic (CAD) system for automated grade groups (GG) classification using digitized prostate biopsy specimens (PBSs). Our CAD
Autor:
Mohamed Abou El-Ghar, Maiying Kong, Garth M. Beache, Ayman El-Baz, Georgy Gimel'farb, Fahmi Khalifa, Tarek El-Diasty
Publikováno v:
IEEE Transactions on Medical Imaging. 32:1910-1927
A novel framework for the classification of acute rejection versus nonrejection status of renal transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging is proposed. The framework consists of four steps. First, kidney objects are seg