Zobrazeno 1 - 10
of 16
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:
Nahla B. Abdel-Hamid, Sarah M. Ayyad, Labib M. Labib, Ayman El-Baz, Ahmed Shalaby, Moumen T. El-Melegy, H. Arafat Ali, Mohamed Abou El-Ghar, Mohammed Ghazal, Mohamed Shehata
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2586, p 2586 (2021)
Sensors, Vol 21, Iss 2586, p 2586 (2021)
Prostate cancer is one of the most identified cancers and second most prevalent among cancer-related deaths of men worldwide. Early diagnosis and treatment are substantial to stop or handle the increase and spread of cancer cells in the body. Histopa
Publikováno v:
FUZZ-IEEE
Kidney segmentation from Dynamic Contrast Enhanced Magnetic Resonance Images (DCE-MRI) is a fundamental step for the early detection of transplanted kidney function. This paper presents an accurate and automatic DCE-MRI kidney segmentation method whi
Autor:
Mohamed Abou El-Ghar, Islam Reda, Mohammed Elmogy, Ehsan Hosseini-Asl, Ayman El-Baz, Naoufel Werghi, Ahmed Shalaby, Ahmed Abou Elfotouh, Fahmi Khalifa, Georgy Gimel'farb
Publikováno v:
Computers in Biology and Medicine. 81:148-158
Early detection of prostate cancer increases chances of patients' survival. Our automated non-invasive system for computer-aided diagnosis (CAD) of prostate cancer segments the prostate on diffusion-weighted magnetic resonance images (DW-MRI) acquire
Autor:
Mohammed Ghazal, Mohamed Shehata, Georgy Gimel'farb, Fahmi Khalifa, Fatma Taher, Ahmed Soliman, Amy C. Dwyer, Robert S. Keynton, Mohamed Abou El-Ghar, Ayman El-Baz
Publikováno v:
IEEE transactions on bio-medical engineering. 66(2)
Objective: Early diagnosis of acute renal transplant rejection (ARTR) is critical for accurate treatment. Although the current gold standard, diagnostic technique is renal biopsy, it is not preferred due to its invasiveness, long recovery time (1–2
Publikováno v:
FUZZ-IEEE
Kidney segmentation from Dynamic Contrast Enhanced Magnetic Resonance Images (DCE-MRI) is an important step for the early detection of transplanted kidney rejection. In this paper, an accurate kidney segmentation method from DCE-MRI is proposed. In t
Autor:
Ayman El-Baz, Ahmed Abou El-Fetouh, Mohammed Ghazal, Mohamed Abou El-Ghar, Mohammed Elmogy, Ashraf Khalil, Ahmed Shalaby, Islam Reda, Adel Elmaghraby
Publikováno v:
Technology in Cancer Research & Treatment
The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both clinical biomarkers (prostate-specific antigen) and extracted features from diffusion-weighted ma
Autor:
Ayman El-Baz, Moumen T. El-Melegy, Islam Reda, Mohammed Elmogy, Babajide O. Ayinde, Mohammed Ghazal, Ahmed Abou El-Fetouh, Mohamed Abou El-Ghar, Ahmed Shalaby
Publikováno v:
ISBI
We propose a convolutional neural network (CNN) based computer-aided diagnosis (CAD) system for early diagnosis of prostate cancer from diffusion-weighted magnetic resonance imaging (DWI). The proposed CNN-based CAD system begins by segmenting the pr
Autor:
Mohammed Ghazal, Ayman El-Baz, Ali Mahmoud, Moumen T. El-Melegy, Fahmi Khalifa, Mohamed Shehata, Ahmed Soliman, Mohamed Abou El-Ghar
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0200082 (2018)
PLoS ONE
PLoS ONE
A new technique for more accurate automatic segmentation of the kidney from its surrounding abdominal structures in diffusion-weighted magnetic resonance imaging (DW-MRI) is presented. This approach combines a new 3D probabilistic shape model of the
Autor:
Fatma Taher, Mohammed Ghazal, Maryam El-Baz, Jasjit S. Suri, Mohamed Abou El-Ghar, Ahmed Shalaby, Ali Takieldeen, Ayman El-Baz
Publikováno v:
Medical Research Archives. 5
A new adaptive probabilistic model of blood vessels on magnetic resonance angiography (MRA) images is proposed. The model accounts for both laminar (for normal subjects) and turbulent blood flows (in abnormal cases like anemia or stenosis) and result