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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 461–470 of 640 papers

TitleStatusHype
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation—0
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images—0
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations—0
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation—0
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues—0
COVID-view: Diagnosis of COVID-19 using Chest CT—0
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—0
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans—0
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