Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mohammad Ashraf OTTOM"'
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Active health screening for CRC yielded detection of an increasingly younger adults. However, current machine learning algorithms that are trained usin
Externí odkaz:
https://doaj.org/article/9dee4bbbbce84b27835b3afdc86a755f
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 10, Pp 1-8 (2022)
Background: Detection and segmentation of brain tumors using MR images are challenging and valuable tasks in the medical field. Early diagnosing and localizing of brain tumors can save lives and provide timely options for physicians to select efficie
Externí odkaz:
https://doaj.org/article/2aafc19a836946a1bd8e892407bed835
Publikováno v:
Bioengineering, Vol 10, Iss 5, p 581 (2023)
Stereotactic brain tumor segmentation based on 3D neuroimaging data is a challenging task due to the complexity of the brain architecture, extreme heterogeneity of tumor malformations, and the extreme variability of intensity signal and noise distrib
Externí odkaz:
https://doaj.org/article/74900eff8668408b8d95afa29d03d1a4
Autor:
Mohammad Ashraf OTTOM
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 3, Iss 1, Pp 37-50 (2017)
Nowadays, we are generating a high volume of data in all domains such as social media, industries, stock market, healthcare systems etc. Most of data volume have been generated in the past two years. This massive amount of data can bring benefits and
Externí odkaz:
https://doaj.org/article/a1d20d0e96cd4bd0bcaf29db6102108c
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine. 10:1-8
Detection and segmentation of brain tumors using MR images are challenging and valuable tasks in the medical field. Early diagnosing and localizing of brain tumors can save lives and provide timely options for physicians to select efficient treatment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a73ef6bdf9b51cef4d184b29ac41d5cb
https://doi.org/10.1109/jtehm.2022.3176737
https://doi.org/10.1109/jtehm.2022.3176737
Background Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Active health screening for CRC yielded detection of an increasingly younger adults. However, current machine learning algorithms that are trained using older a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4062e6e53e7d322f64ab1b36f6542459
https://doi.org/10.21203/rs.3.rs-2031672/v1
https://doi.org/10.21203/rs.3.rs-2031672/v1
Publikováno v:
Journal of Computer Science. 17:265-274
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::036365c15bf0d38ad4fe8617418fb42e
https://doi.org/10.3844/jcssp.2021.265.274
https://doi.org/10.3844/jcssp.2021.265.274
Autor:
Mohammad Ashraf Ottom, Walaa Alshorman
Publikováno v:
Journal of Engineering and Applied Sciences. 14:2249-2257
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::846cacbeb20d078a2bee9b135c597706
https://doi.org/10.36478/jeasci.2019.2249.2257
https://doi.org/10.36478/jeasci.2019.2249.2257
Publikováno v:
Journal of Engineering and Applied Sciences. 14:5183-5189
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b86921e9c91aef2a08c036a3b8d1de9
https://doi.org/10.36478/jeasci.2019.5183.5189
https://doi.org/10.36478/jeasci.2019.5183.5189
Publikováno v:
International Journal of Cyber-Security and Digital Forensics. 8:188-193
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bc15e356b587cbe4fafbcbb10a3034c
https://doi.org/10.17781/p002607
https://doi.org/10.17781/p002607