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Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

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Showing 1–25 of 640 papers

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
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
Longitudinal Segmentation of MS Lesions via Temporal Difference WeightingCode2
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body ImagingCode2
SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary GuidanceCode2
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico ExperimentsCode2
Vivim: a Video Vision Mamba for Medical Video SegmentationCode2
A Multimodal Vision Foundation Model for Clinical DermatologyCode2
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image SegmentationCode2
Boundary-aware Transformers for Skin Lesion SegmentationCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Boundary loss for highly unbalanced segmentationCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
A Data-Efficient Pan-Tumor Foundation Model for Oncology CT InterpretationCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
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