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Skin Lesion Segmentation

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TitleStatusHype
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image SegmentationCode6
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion SegmentationCode3
SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary GuidanceCode2
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
A Multimodal Vision Foundation Model for Clinical DermatologyCode2
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image SegmentationCode2
QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image SegmentationCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in TransformersCode1
U-Net-based Models for Skin Lesion Segmentation: More Attention and AugmentationCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image SegmentationCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
SSG2: A new modelling paradigm for semantic segmentationCode1
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation DatasetsCode1
FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy ClassificationCode1
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion SegmentationCode1
MFSNet: A Multi Focus Segmentation Network for Skin Lesion SegmentationCode1
XBound-Former: Toward Cross-scale Boundary Modeling in TransformersCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesCode1
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture DetectionCode1
MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion SegmentationCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
DAGrid: Directed Accumulator GridCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationCode1
Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation—0
A New Approach for Automatic Segmentation and Evaluation of Pigmentation Lesion by using Active Contour Model and Speeded Up Robust Features—0
Global and Local Information Based Deep Network for Skin Lesion Segmentation—0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation—0
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation—0
Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique—0
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