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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 611–620 of 640 papers

TitleStatusHype
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT ScansCode0
Detection-aided liver lesion segmentation using deep learningCode0
SAN-Net: Learning Generalization to Unseen Sites for Stroke Lesion Segmentation with Self-Adaptive NormalizationCode0
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion SegmentationCode0
Dense Pooling layers in Fully Convolutional Network for Skin Lesion SegmentationCode0
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion SegmentationCode0
SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion SegmentationCode0
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range DependenciesCode0
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random FieldsCode0
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