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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 211–220 of 640 papers

TitleStatusHype
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks—0
Differentiable Deconvolution for Improved Stroke Perfusion Analysis—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation—0
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images—0
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence—0
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning—0
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