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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 321–330 of 640 papers

TitleStatusHype
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation—0
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters—0
Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models—0
Sustainable Deep Learning-Based Breast Lesion Segmentation: Impact of Breast Region Segmentation on Performance—0
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation—0
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation—0
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging—0
TBI Contusion Segmentation from MRI using Convolutional Neural Networks—0
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