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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 111–120 of 640 papers

TitleStatusHype
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports—0
Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification—0
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM—0
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images—0
Skip and Skip: Segmenting Medical Images with Prompts—0
Towards AI Lesion Tracking in PET/CT Imaging: A Siamese-based CNN Pipeline applied on PSMA PET/CT Scans—0
Instance-level quantitative saliency in multiple sclerosis lesion segmentationCode0
Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers—0
The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed TomographyCode1
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