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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 301–310 of 640 papers

TitleStatusHype
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation—0
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation datasetCode1
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs—0
SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico ExperimentsCode2
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationCode1
XBound-Former: Toward Cross-scale Boundary Modeling in TransformersCode1
A Survey on Deep Learning for Skin Lesion SegmentationCode0
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion SegmentationCode1
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network—0
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
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