The paper claims an improved TransUNet with boundary guidance and multi-scale fusion achieves state-of-the-art skin lesion segmentation on ISIC, but provides insufficient experimental evidence.
Deep semantic segmentation and skin disease classification from dermoscopic images based on a modernized deep learning network with multi-feature extraction[J]
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.IV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Deep Skin Lesion Segmentation with Transformer-CNN Fusion: Toward Intelligent Skin Cancer Analysis
The paper claims an improved TransUNet with boundary guidance and multi-scale fusion achieves state-of-the-art skin lesion segmentation on ISIC, but provides insufficient experimental evidence.