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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 76–100 of 640 papers

TitleStatusHype
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion SegmentationCode1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
CarveMix: A Simple Data Augmentation Method for Brain Lesion SegmentationCode1
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
Boundary loss for highly unbalanced segmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
A Data-Efficient Pan-Tumor Foundation Model for Oncology CT InterpretationCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
Constrained unsupervised anomaly segmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion AnnotationsCode1
DAGrid: Directed Accumulator GridCode1
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
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