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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 361–370 of 640 papers

TitleStatusHype
Looking at the whole picture: constrained unsupervised anomaly segmentationCode1
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning—0
Unsupervised Local Discrimination for Medical ImagesCode1
CarveMix: A Simple Data Augmentation Method for Brain Lesion SegmentationCode1
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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