Browsing Department of Chemistry, Bioscience and Environmental Engineering (TN-IKBM) by Subject "urothelial carcinoma"
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NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning
(Peer reviewed; Journal article, 2024)The most prevalent form of bladder cancer is urothelial carcinoma, characterized by a high recurrence rate and substantial lifetime treatment costs for patients. Grading is a prime factor for patient risk stratification, ...