Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network. (arXiv:2205.10272v1 [cs.CV])

Skin lesion detection in dermoscopic images is essential in the accurate and
early diagnosis of skin cancer by a computerized apparatus. Current skin lesion
segmentation approaches show poor performance in challenging circumstances such
as indistinct lesion boundaries, low contrast between the lesion and the
surrounding area, or heterogeneous background that causes over/under
segmentation of the skin lesion. To accurately recognize the lesion from the
neighboring regions, we propose a dilated scale-wise feature fusion network
based on convolution factorization. Our network …

arxiv cv feature fusion network scale segmentation