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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 481–490 of 640 papers

TitleStatusHype
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
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR 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
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation—0
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