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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 276–300 of 640 papers

TitleStatusHype
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
Multilevel Perception Boundary-guided Network for Breast Lesion Segmentation in Ultrasound Images—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
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep SupervisionCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts—0
APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge—0
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation—0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications—0
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative LearningCode0
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel GraphsCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations—0
Channel Attention Separable Convolution Network for Skin Lesion Segmentation—0
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation—0
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