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Skin Lesion Segmentation

Papers

Showing 2650 of 154 papers

TitleStatusHype
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
U-Net-based Models for Skin Lesion Segmentation: More Attention and AugmentationCode1
XBound-Former: Toward Cross-scale Boundary Modeling in TransformersCode1
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
MFSNet: A Multi Focus Segmentation Network for Skin Lesion SegmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationCode1
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion SegmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework0
A Lightweight U-Net Model for Accurate Skin Lesion Segmentation0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation0
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion SegmentationCode0
GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion AnalysisCode0
Image Segmentation: Inducing graph-based learningCode0
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