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:
Sarah M. Ayyad, Mohamed A. Badawy, Mohamed Shehata, Ahmed Alksas, Ali Mahmoud, Mohamed Abou El-Ghar, Mohammed Ghazal, Moumen El-Melegy, Nahla B. Abdel-Hamid, Labib M. Labib, H. Arafat Ali, Ayman El-Baz
Publikováno v:
Sensors; Volume 22; Issue 5; Pages: 1848
Prostate cancer, which is also known as prostatic adenocarcinoma, is an unconstrained growth of epithelial cells in the prostate and has become one of the leading causes of cancer-related death worldwide. The survival of patients with prostate cancer
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:
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, Tarek El-Diasty, Michael L. Merchant, Mohamed Abou El-Ghar, Mohammed Ghazal, Mohamed Shehata, Andrew E. Switala, Elizabeth Hollis
Publikováno v:
The British journal of radiology. 90(1080)
The main goal of this study is to determine which parameters [e.g. clinical biomarkers, demographics and image-markers using 4D (3D + b-value) diffusion-weighted MRI (DW-MRI)] are more correlated with transplanted kidney status in patients who have u
Autor:
Robert S. Keynton, Ahmed Soliman, Brian Wang, Ayman El-Baz, Fahmi Khalifa, Neal Dunlap, Ahmed Elnakib, Mohamed Abou El-Ghar, Georgy Gimel'farb
Publikováno v:
IEEE transactions on medical imaging. 36(1)
To accurately segment pathological and healthy lungs for reliable computer-aided disease diagnostics, a stack of chest CT scans is modeled as a sample of a spatially inhomogeneous joint 3D Markov-Gibbs random field (MGRF) of voxel-wise lung and chest
Autor:
Mohamed Abou El-Ghar, Ahmed Soliman, Ahmed Elnakib, Patrick McClure, G. Gimelrfarb, Fahmi Khalifa, Ayman El-Baz
Publikováno v:
IEEE Transactions on Biomedical Engineering. 59:2019-2029
Accurate automatic extraction of a 3-D cerebrovascular system from images obtained by time-of-flight (TOF) or phase contrast (PC) magnetic resonance angiography (MRA) is a challenging segmentation problem due to the small size objects of interest (bl
Publikováno v:
The Scientific World Journal, Vol 9, Pp 441-448 (2009)
The Scientific World Journal
The Scientific World Journal
The purpose of our study was to assess the role of a 64-slice multidetector CT (MDCT) scanner in the characterization of different solid renal masses, using a simplified approach to correct the postenhancement attenuation values. The study included 9
Autor:
Ayman, El-Baz, Fahmi, Khalifa, Ahmed, Elnakib, Matthew, Nitzken, Ahmed, Soliman, Patrick, McClure, Mohamed, Abou El-Ghar, Georgy, Gimel'farb
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 15(Pt 2)
A new approach to align 3D CT data of a segmented lung object with a given prototype (reference lung object) using an affine transformation is proposed. Visual appearance of the lung from CT images, after equalizing their signals, is modeled with a n
Autor:
Ayman, El-Baz, Matthew, Nitzken, Ahmed, Elnakib, Fahmi, Khalifa, Georgy, Gimel'farb, Robert, Falk, Mohamed Abou, El-Ghar
Publikováno v:
Information processing in medical imaging : proceedings of the ... conference. 22
An alternative method for diagnosing malignant lung nodules by their shape rather than conventional growth rate is proposed. The 3D surfaces of the detected lung nodules are delineated by spherical harmonic analysis, which represents a 3D surface of