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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 201–210 of 640 papers

TitleStatusHype
Generative Model-Based Ischemic Stroke Lesion Segmentation—0
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images—0
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—0
Dermoscopic Image Analysis for ISIC Challenge 2018—0
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence—0
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation—0
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks—0
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
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