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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 401–410 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
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