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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 626–640 of 640 papers

TitleStatusHype
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring—0
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports—0
PriorNet: lesion segmentation in PET-CT including prior tumor appearance information—0
Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence—0
Progressive Adversarial Semantic Segmentation—0
Quality monitoring of federated Covid-19 lesion segmentation—0
Quasi-Conformal Convolution : A Learnable Convolution for Deep Learning on Riemann Surfaces—0
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training—0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation—0
Saliency-based segmentation of dermoscopic images using color information—0
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network—0
SANet:Superpixel Attention Network for Skin Lesion Attributes Detection—0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images—0
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI—0
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