Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohammed Aliy Mohammed"'
Autor:
Esla Timothy Anzaku, Mohammed Aliy Mohammed, Utku Ozbulak, Jongbum Won, Hyesoo Hong, Janarthanan Krishnamoorthy, Sofie Van Hoecke, Stefan Magez, Arnout Van Messem, Wesley De Neve
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract Trypanosomiasis, a neglected tropical disease (NTD), challenges communities in sub-Saharan Africa and Latin America. The World Health Organization underscores the need for practical, field-adaptable diagnostics and rapid screening tools to a
Externí odkaz:
https://doaj.org/article/b624826857cb45d29b9f63dc1d90e105
Publikováno v:
BMC Biomedical Engineering, Vol 3, Iss 1, Pp 1-8 (2021)
Abstract Background Automating cytology-based cervical cancer screening could alleviate the shortage of skilled pathologists in developing countries. Up until now, computer vision experts have attempted numerous semi and fully automated approaches to
Externí odkaz:
https://doaj.org/article/5b387594f25e43a3bea05bc75c69cccf
Publikováno v:
BMC Biomedical Engineering, Vol 3, Iss 1, Pp 1-13 (2021)
Abstract Background Liver cancer is the sixth most common cancer worldwide. It is mostly diagnosed with a computed tomography scan. Nowadays deep learning methods have been used for the segmentation of the liver and its tumor from the computed tomogr
Externí odkaz:
https://doaj.org/article/b9c5fbad4a054ea6a8a0a5408665544b
Publikováno v:
BMC Biomedical Engineering, Vol 3, Iss 1, Pp 1-13 (2021)
BMC Biomedical Engineering
BMC Biomedical Engineering
Background Liver cancer is the sixth most common cancer worldwide. It is mostly diagnosed with a computed tomography scan. Nowadays deep learning methods have been used for the segmentation of the liver and its tumor from the computed tomography (CT)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af04f1e059fc6f75393fb0b72386d6fd
https://doaj.org/article/b9c5fbad4a054ea6a8a0a5408665544b
https://doaj.org/article/b9c5fbad4a054ea6a8a0a5408665544b
Publikováno v:
Medical & Biological Engineering & Computing. 59:143-152
Blood cell count provides relevant clinical information about different kinds of disorders. Any deviation in the number of blood cells implies the presence of infection, inflammation, edema, bleeding, and other blood-related issues. Current microscop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::741fb0da24872ffde9e2ce2ef193eabb
https://doi.org/10.1007/s11517-020-02291-w
https://doi.org/10.1007/s11517-020-02291-w
Publikováno v:
Medicalbiological engineeringcomputing. 59(1)
Blood cell count provides relevant clinical information about different kinds of disorders. Any deviation in the number of blood cells implies the presence of infection, inflammation, edema, bleeding, and other blood-related issues. Current microscop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::16109a92985357d6f140a1ea8e89b963
https://pubmed.ncbi.nlm.nih.gov/33385284
https://pubmed.ncbi.nlm.nih.gov/33385284