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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 111–120 of 640 papers

TitleStatusHype
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion SegmentationCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion SegmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasetsCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial LearningCode1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
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