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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 391–400 of 640 papers

TitleStatusHype
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network—0
Quality monitoring of federated Covid-19 lesion segmentation—0
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT—0
Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network—0
Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism—0
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound imagesCode0
Ultrasound Domain Adaptation Using Frequency Domain Analysis—0
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images—0
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