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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 401–410 of 640 papers

TitleStatusHype
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion DetectionCode0
Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation—0
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring—0
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning—0
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation—0
COVID-view: Diagnosis of COVID-19 using Chest CT—0
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina—0
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation—0
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation—0
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation—0
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