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cs.CV2025
U-MAN: U-Net with Multi-scale Adaptive KAN Network for Medical Image Segmentation
Bohan Huang, Qianyun Bao, Haoyuan Ma
Medical image segmentation faces significant challenges in preserving fine-grained details and precise boundaries due to complex anatomical structures and pathological regions. The…
eess.IV2025
LoRA-based methods on Unet for transfer learning in Subarachnoid Hematoma Segmentation
Cristian Minoccheri, Matthew Hodgman, Haoyuan Ma +4
Aneurysmal subarachnoid hemorrhage (SAH) is a life-threatening neurological emergency with mortality rates exceeding 30%. Transfer learning from related hematoma types represents a…