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Deep Learning For Histopathological Segmentation of Smooth Muscle in The Urinary Bladder by genshinimpac79393 is a document available to read on EtoBox.

This study presents a deep learning approach for the automated segmentation of smooth muscle in urinary bladder histopathological images, addressing the challenges faced by pathologists in distinguishing between muscularis mucosa and muscularis propria. Two model groups were evaluated: a patch-based approach using models like MobileNetV2 and a pixel-based approach using U-Net, with the latter achieving superior performance metrics. The findings establish a benchmark for future diagnostic tools aimed at impr

Author

genshinimpac79393

Language

EN