TransUNet: How Transformer Architecture Revolutionizes Medical Image Segmentation
Introduction Medical imaging forms the backbone of modern diagnostic healthcare, yet accurate segmentation of anatomical structures and pathological regions remains one of the most challenging problems in computational medicine. Radiologists spend countless hours manually delineating organs, tumors, and vessels in CT and MRI scans—a process that is not only time-consuming but also subject to inter-observer […]
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