Bevacizumab単独療法のための卵巣癌患者選択に向けたAI支援ソリューション
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Research papers and publications in this area
Predicting the effect of Bevacizumab therapy in ovarian cancer from H&E whole s…
Md Shakhawat Hossain, Munim Ahmed, Md Sahilur Rahman, MM Mahbubul Syeed, Mohammad Faisal Uddin
Intelligence-Based Medicine , Vol. 11 (100231)
Ovarian cancer (OC) ranks fifth in all cancer-related fatalities in women. Epithelial ovarian cancer (EOC) is a subclass of OC, accounting for 95 % of …
Ensemble of Deep Learning Models to Select Ovarian Cancer Patients for Bevacizu…
Md Sahilur Rahman; Munim Ahmed; Md Shakhawat Hossain; MM Mahbubul Syeed; Mohammad Faisal Uddin
Bevacizumab monoclonal therapy, in combination with chemotherapy, is an FDA-approved treatment for ovarian cancer (OC), particularly for patients with epithelial ovarian cancer (EOC) patients. …
The perception of health professionals in Bangladesh toward the digitalization …
Md Shakhawat Hossain, MM Mahbubul Syeed, Kaniz Fatema, Mohammad Faisal Uddin
International Journal of Environmental Research and Public Health , Vol. 19 (20)
Bangladesh is undertaking a major transformation towards digitalization in every sector, and healthcare is no exception. Digitalization of the health sector is expected to …
Automatic quality evaluation of whole slide images for the practical use of who…
Hossain Md Shakhawat, Tomoya Nakamura, Fumikazu Kimura, Yukako Yagi, Masahiro Yamaguchi
ITE Transactions On Media Technology And Applications , Vol. 8 (4)
A whole slide imaging (WSI) scanner scans pathological-specimens to produce digital images for monitor-based diagnosis and analysis. However, the image quality is sometimes insufficient …
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