Browsing Department of Computer Science by Subject "Semantic segmentation"
Now showing items 1-2 of 2
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Deep learning in dermatopathology: applications for skin disease diagnosis and classification
(Springer Nature, 2025-08-28)Medical image segmentation is pivotal in disease diagnosis and treatment planning across various imaging modalities, including MRI, CT, ultrasound, X-ray, dermoscopy, and histopathology. This systematic literature review, ... -
Urban Scene Segmentation and Cross-Dataset Transfer Learning using SegFormer
(SPIE, 2025-08-01)Semantic segmentation is essential for autonomous driving applications, but state-of-the-art models are typically evaluated on large datasets like Cityscapes, leaving smaller datasets underexplored. This research gap limits ...
