Skin Lesion Segmentation
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Benchmarks
Most implemented
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
RECOD Titans at ISIC Challenge 2017
Papers
MLFFM-SegDiff: A Multi-Level Feature Fusion Diffusion Model for Skin Lesion Segmentation
Skin lesion segmentation is a key task in computer-aided dermatological diagnosis, where accuracy directly impacts downstream analysis and disease classification. However, dermoscopic images are challenging due to blurre…
Medical Image SegmentationSkin Lesion SegmentationConcept Alignment Contrast and Long-Short Prompt Memory for Test-Time Adaptation of SAM3 in Medical Image Segmentation
Concept segmentation models like Segment Anything Model 3 (SAM3) show strong generalization on natural images, yet their performance degrades in medical imaging due to the domain gap caused by different imaging principle…
Medical Image SegmentationSkin Lesion SegmentationTest-time AdaptationPEFT-MedSAM: Efficient Fine-Tuning of Medical Foundation Models for Explainable Skin Lesion Segmentation
Automated segmentation of skin lesions using deep learning models for dermoscopic images can be very helpful in finding melanomas earlier than they would normally be detected. However, most deep learning methods availabl…
parameter-efficient fine-tuningSkin Lesion SegmentationPhase-Aware Wavelet-Based-Scattering Encoder-Decoder for Dense Predictions
Scattering transforms achieve Lipschitz stability and translation invariance, but dense prediction tasks require preserving spatial structure lost in global averaging. We propose Phase-Aware Scattering Encoder-Decoder, w…
Skin Lesion SegmentationImage DenoisingPatch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation
CNN- and Transformer-based architectures have achieved strong performance in medical image segmentation, but CNNs are limited in modeling long-range dependencies, while Transformers often suffer from quadratic computatio…
Medical Image SegmentationSkin Lesion SegmentationPolyp SegmentationUncertainty-Guided Dual-Domain Learning for Reliable Skin Lesion Segmentation
Accurate skin lesion segmentation is vital for dermoscopic Computer-Aided Diagnosis. However, visual ambiguity and morphological irregularity often defeat spatial modeling, necessitating multi-domain architectures. Exist…
Skin Lesion Segmentation