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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 281–290 of 640 papers

TitleStatusHype
Automated ischemic stroke lesion segmentation from 3D MRI—0
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
Whole-Body Lesion Segmentation in 18F-FDG PET/CTCode0
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution RobustnessCode0
AutoPET Challenge 2022: Step-by-Step Lesion Segmentation in Whole-body FDG-PET/CTCode0
AutoPET Challenge 2022: Automatic Segmentation of Whole-body Tumor Lesion Based on Deep Learning and FDG PET/CTCode0
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning—0
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers—0
Mutual gain adaptive network for segmenting brain stroke lesions—0
A survey, review, and future trends of skin lesion segmentation and classification—0
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