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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 401–425 of 640 papers

TitleStatusHype
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT—0
Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units—0
White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative—0
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets—0
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation—0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation—0
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods—0
Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models—0
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—0
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT ScansCode0
Saliency-based segmentation of dermoscopic images using color information—0
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data SegmentationCode0
DR-Unet104 for Multimodal MRI brain tumor segmentationCode1
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT ScansCode1
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation—0
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
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion SegmentationCode1
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI—0
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation—0
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
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