Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ahmed Shaffie"'
Autor:
Wiem Safta, Ahmed Shaffie
Publikováno v:
Algorithms, Vol 17, Iss 4, p 161 (2024)
Enhancing lung cancer diagnosis requires precise early detection methods. This study introduces an automated diagnostic system leveraging computed tomography (CT) scans for early lung cancer identification. The main approach is the integration of thr
Externí odkaz:
https://doaj.org/article/edb842133dd84d6d91b1df4bd7d126be
Autor:
Ahmed Alksas, Mohamed Shehata, Gehad A. Saleh, Ahmed Shaffie, Ahmed Soliman, Mohammed Ghazal, Adel Khelifi, Hadil Abu Khalifeh, Ahmed Abdel Razek, Guruprasad A. Giridharan, Ayman El-Baz
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Abstract Liver cancer is a major cause of morbidity and mortality in the world. The primary goals of this manuscript are the identification of novel imaging markers (morphological, functional, and anatomical/textural), and development of a computer-a
Externí odkaz:
https://doaj.org/article/274eb2a8344a4ff3a796fca31c71bdc9
Autor:
Ahmed Shaffie, Ahmed Soliman, Xiao-An Fu, Michael Nantz, Guruprasad Giridharan, Victor van Berkel, Hadil Abu Khalifeh, Mohammed Ghazal, Adel Elmaghraby, Ayman El-baz
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract This study presents a non-invasive, automated, clinical diagnostic system for early diagnosis of lung cancer that integrates imaging data from a single computed tomography scan and breath bio-markers obtained from a single exhaled breath to
Externí odkaz:
https://doaj.org/article/2d567499a10d48f7a06cf8aef5a82a5e
Autor:
Ahmed Shaffie, Ahmed Soliman, Amr Eledkawy, Xiao-An Fu, Michael H. Nantz, Guruprasad Giridharan, Victor van Berkel, Ayman El-Baz
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 7165 (2022)
Lung cancer is one of the world’s lethal diseases and detecting it at an early stage is crucial and difficult. This paper proposes a computer-aided lung cancer diagnosis system using volatile organic compounds (VOCs) data. A silicon microreactor, w
Externí odkaz:
https://doaj.org/article/8f2137be265e4762a279947e9fdf3d93
Autor:
Mohamed Shehata, Ahmed Alksas, Rasha T. Abouelkheir, Ahmed Elmahdy, Ahmed Shaffie, Ahmed Soliman, Mohammed Ghazal, Hadil Abu Khalifeh, Reem Salim, Ahmed Abdel Khalek Abdel Razek, Norah Saleh Alghamdi, Ayman El-Baz
Publikováno v:
Sensors, Vol 21, Iss 14, p 4928 (2021)
Renal cell carcinoma (RCC) is the most common and a highly aggressive type of malignant renal tumor. In this manuscript, we aim to identify and integrate the optimal discriminating morphological, textural, and functional features that best describe t
Externí odkaz:
https://doaj.org/article/2583b6475636440dbeef5b0150a1f9e8
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Publikováno v:
Cancers; Volume 14; Issue 5; Pages: 1117
Lung cancer is one of the most dreadful cancers, and its detection in the early stage is very important and challenging. This manuscript proposes a new computer-aided diagnosis system for lung cancer diagnosis from chest computed tomography scans. Th
Autor:
Ahmed Sharafeldeen, Mohamed Elsharkawy, Reem Khaled, Ahmed Shaffie, Fahmi Khalifa, Ahmed Soliman, Ahmed Abdel khalek Abdel Razek, Manar Mansour Hussein, Saher Taman, Ahmed Naglah, Mohammed Alrahmawy, Samir Elmougy, Jawad Yousaf, Mohammed Ghazal, Ayman El‐Baz
Publikováno v:
Medical physicsREFERENCES. 49(2)
To assess whether the integration between (a) functional imaging features that will be extracted from diffusion-weighted imaging (DWI); and (b) shape and texture imaging features as well as volumetric features that will be extracted from T2-weighted
Autor:
Ahmed Shaffie, Ayman El-Baz, Adel Elmaghraby, Mohammed Ghazal, Ahmed Soliman, Hadil Abu Khalifeh, Fatma Taher
Publikováno v:
ISBI
An accurate computer aided diagnostic (CAD) system is very significant and critical for early detection of lung cancer. A new framework for lung nodule classification is proposed in this paper using different imaging markers from one computed tomogra