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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 191–200 of 640 papers

TitleStatusHype
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks—0
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks—0
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review—0
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs—0
Deep Learning Based Dominant Index Lesion Segmentation for MR-guided Radiation Therapy of Prostate Cancer—0
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis—0
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018—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
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