Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Amgad, Mohamed"'
Autor:
Yehia Abdelzaher, Walaa, Abdeltwab Ibrahim, Salwa, Abdel-Wakeel Abdel-Gaber, Seham, Rady Fadl, Rania, Amgad Mohamed, Nada, Sedik, Wael F., Mohamed Abdel-Aziz, Asmaa
Publikováno v:
In International Immunopharmacology 30 September 2024 139
Data labeling is often the most challenging task when developing computational pathology models. Pathologist participation is necessary to generate accurate labels, and the limitations on pathologist time and demand for large, labeled datasets has le
Externí odkaz:
http://arxiv.org/abs/2111.05882
Autor:
Amgad, Mohamed, Atteya, Lamees A., Hussein, Hagar, Mohammed, Kareem Hosny, Hafiz, Ehab, Elsebaie, Maha A. T., Alhusseiny, Ahmed M., AlMoslemany, Mohamed Atef, Elmatboly, Abdelmagid M., Pappalardo, Philip A., Sakr, Rokia Adel, Mobadersany, Pooya, Rachid, Ahmad, Saad, Anas M., Alkashash, Ahmad M., Ruhban, Inas A., Alrefai, Anas, Elgazar, Nada M., Abdulkarim, Ali, Farag, Abo-Alela, Etman, Amira, Elsaeed, Ahmed G., Alagha, Yahya, Amer, Yomna A., Raslan, Ahmed M., Nadim, Menatalla K., Elsebaie, Mai A. T., Ayad, Ahmed, Hanna, Liza E., Gadallah, Ahmed, Elkady, Mohamed, Drumheller, Bradley, Jaye, David, Manthey, David, Gutman, David A., Elfandy, Habiba, Cooper, Lee A. D.
Publikováno v:
GigaScience, 11 (2022)
High-resolution mapping of cells and tissue structures provides a foundation for developing interpretable machine-learning models for computational pathology. Deep learning algorithms can provide accurate mappings given large numbers of labeled insta
Externí odkaz:
http://arxiv.org/abs/2102.09099
Autor:
Dudgeon, Sarah N, Wen, Si, Hanna, Matthew G, Gupta, Rajarsi, Amgad, Mohamed, Sheth, Manasi, Marble, Hetal, Huang, Richard, Herrmann, Markus D, Szu, Clifford H., Tong, Darick, Werness, Bruce, Szu, Evan, Larsimont, Denis, Madabhushi, Anant, Hytopoulos, Evangelos, Chen, Weijie, Singh, Rajendra, Hart, Steven N., Saltz, Joel, Salgado, Roberto, Gallas, Brandon D
Purpose: In this work, we present a collaboration to create a validation dataset of pathologist annotations for algorithms that process whole slide images (WSIs). We focus on data collection and evaluation of algorithm performance in the context of e
Externí odkaz:
http://arxiv.org/abs/2010.06995
Autor:
Lee, Sanghoon, Amgad, Mohamed, Chittajallu, Deepak R., McCormick, Matt, Pollack, Brian P, Elfandy, Habiba, Hussein, Hagar, Gutman, David A, Cooper, Lee AD
Extracting quantitative phenotypic information from whole-slide images presents significant challenges for investigators who are not experienced in developing image analysis algorithms. We present new software that enables rapid learn-by-example trai
Externí odkaz:
http://arxiv.org/abs/2001.11547
Autor:
Basel Elsayed, Mohamed Elhadary, Raghad Mohamed Elshoeibi, Amgad Mohamed Elshoeibi, Ahmed Badr, Omar Metwally, Raghad Alaa ElSherif, Mohamed Elsayed Salem, Fatima Khadadah, Awni Alshurafa, Deena Mudawi, Mohamed Yassin
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Acute lymphoblastic leukemia (ALL) poses a significant health challenge, particularly in pediatric cases, requiring precise and rapid diagnostic approaches. This comprehensive review explores the transformative capacity of deep learning (DL) in enhan
Externí odkaz:
https://doaj.org/article/288573faa8bd4c1eb91480e8d82ff04f
Autor:
Doaa Y. Ali, Rasha A. Hussein, Shahira Morsy ELshafie, Reem Amgad Mohamed, Fadwa Abd El Reheem
Publikováno v:
Beni-Suef University Journal of Basic and Applied Sciences, Vol 12, Iss 1, Pp 1-10 (2023)
Abstract Background The most commonly utilized samples for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection using real-time quantitative reverse transcriptase-polymerase chain reaction (RT-qPCR) are nasopharyngeal swabs (NPS) an
Externí odkaz:
https://doaj.org/article/db274c0e2cf24b2b9d66e2299e25cdb4
Autor:
Elhadary, Mohamed, Elshoeibi, Amgad Mohamed, Badr, Ahmed, Elsayed, Basel, Metwally, Omar, Elshoeibi, Ahmed Mohamed, Mattar, Mervat, Alfarsi, Khalil, AlShammari, Salem, Alshurafa, Awni, Yassin, Mohamed
Publikováno v:
In Blood Reviews November 2023 62
Autor:
Elsabagh, Ahmed Adel, Elhadary, Mohamed, Elsayed, Basel, Elshoeibi, Amgad Mohamed, Ferih, Khaled, Kaddoura, Rasha, Alkindi, Salam, Alshurafa, Awni, Alrasheed, Mona, Alzayed, Abdullah, Al-Abdulmalek, Abdulrahman, Altooq, Jaffer Abduljabber, Yassin, Mohamed
Publikováno v:
In Blood Reviews September 2023 61
Autor:
Rong, Ruichen, Sheng, Hudanyun, Jin, Kevin W., Wu, Fangjiang, Luo, Danni, Wen, Zhuoyu, Tang, Chen, Yang, Donghan M., Jia, Liwei, Amgad, Mohamed, Cooper, Lee A.D., Xie, Yang, Zhan, Xiaowei, Wang, Shidan, Xiao, Guanghua
Publikováno v:
In Modern Pathology August 2023 36(8)