Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Loay Hassan"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 1, Pp 619-641 (2024)
Digital breast tomosynthesis (DBT) is a 3D breast cancer screening technique that can overcome the limitations of standard 2D digital mammography. However, DBT images often suffer from artifacts stemming from acquisition conditions, a limited angular
Externí odkaz:
https://doaj.org/article/7a3a24f57e264e0194b16a398327747a
Autor:
Mostafa Salah, Osama A. Omer, Loay Hassan, Mohamed Ragab, Ammar Mostafa Hassan, Ahmed Abdelreheem
Publikováno v:
IEEE Access, Vol 10, Pp 55616-55626 (2022)
A growing attention is given to exploiting Photoplethysmography (PPG) signals in non-invasively measuring of many physiological vital signs. Many machine deep learning models were trained for predicting the continuous arterial blood pressure (ABP) or
Externí odkaz:
https://doaj.org/article/227dfa61dbe043adaa96d833bb845587
Publikováno v:
Computers, Vol 12, Iss 11, p 220 (2023)
Digital breast tomosynthesis (DBT) stands out as a highly robust screening technique capable of enhancing the rate at which breast cancer is detected. It also addresses certain limitations that are inherent to mammography. Nonetheless, the process of
Externí odkaz:
https://doaj.org/article/ebe06a8d8e7548038ae801a2d955af29
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 6, Pp 35-45 (2021)
Nuclei segmentation in whole-slide imaging (WSI) plays a crucial role in the field of computational pathology. It is a fundamental task for different applications, such as cancer cell type classification, cancer grading, and cancer subtype classifica
Externí odkaz:
https://doaj.org/article/04937cea83084376b664a3b210ec4156
Autor:
Abdelnour, Loay Hassan1 loayhassan@gmail.com, Abdalla, Mohammed Eltahir1, Elhassan, Samah2, Kheirelseid, Elrasheid Ahmed Hassan2
Publikováno v:
Current Journal of Neurology. 2022, Vol. 21 Issue 3, p183-193. 11p.
Autor:
Loay Hassan Abdelnour, Mohammed Eltahir Abdalla, Samah Elhassan, Elrasheid Ahmed Hassan Kheirelseid
Publikováno v:
Current Journal of Neurology.
Background: Spontaneous cervical artery dissection (sCeAD) is an important cause of ischemic stroke in the young population and has a different cardiovascular risk profile from other causes of ischemic stroke. No study provided a comprehensive eviden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51dd8652e67602ee2cc445e2f7dbb135
https://doi.org/10.18502/cjn.v21i3.11112
https://doi.org/10.18502/cjn.v21i3.11112
Breast cancer is the most frequently diagnosed cancer in women globally. Early and accurate detection and classification of breast tumors are critical in improving treatment strategies and increasing the patient survival rate. Digital breast tomosynt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5a4e97b720e859513d49ad5fc1739c6
https://doi.org/10.3233/faia220348
https://doi.org/10.3233/faia220348
Publikováno v:
Traitement du Signal. 38:653-661
Automated cell nuclei delineation in whole-slide imaging (WSI) is a fundamental step for many tasks like cancer cell recognition, cancer grading, and cancer subtype classification. Although numerous computational methods have been proposed for segmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3540e6d3ac6d87d8df0ed4676d5fcfb
https://doi.org/10.18280/ts.380312
https://doi.org/10.18280/ts.380312
Digital breast tomosynthesis (DBT) is one of the powerful breast cancer screening technologies. DBT can improve the ability of radiologists to detect breast cancer, especially in the case of dense breasts, where it beats mammography. Although many au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4957db98ad291104f3853bf9fa05ab66
https://doi.org/10.3233/faia210150
https://doi.org/10.3233/faia210150
Publikováno v:
Electronics
Volume 10
Issue 8
Electronics, Vol 10, Iss 954, p 954 (2021)
Volume 10
Issue 8
Electronics, Vol 10, Iss 954, p 954 (2021)
Existing nuclei segmentation methods have obtained limited results with multi-center and multi-organ whole-slide images (WSIs) due to the use of different stains, scanners, overlapping, clumped nuclei, and the ambiguous boundary between adjacent cell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51b75bed158d81cd9a91f6ef62241cb1