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Skin Lesion Segmentation

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Showing 26–50 of 154 papers

TitleStatusHype
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion SegmentationCode3
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation—0
SLP-Net:An efficient lightweight network for segmentation of skin lesions—0
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image SegmentationCode6
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks—0
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency ModelingCode0
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNNCode0
SSG2: A new modelling paradigm for semantic segmentationCode1
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation—0
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications—0
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel GraphsCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Channel Attention Separable Convolution Network for Skin Lesion Segmentation—0
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture DetectionCode1
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image SegmentationCode1
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in TransformersCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
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