Muhammad Arshad

TexTNet: a texture-guided hierarchical architecture for prostate cancer Gleason segmentation in whole slide images

Prostate cancer is one of the most common malignancies among men, and accurate segmentation of Gleason grades is crucial for effective diagnosis and treatment planning. Current deep learning methods often struggle with fusing complementary features from CNNs and Transformers, primarily relying on naive feature fusion t...