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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 621–630 of 640 papers

TitleStatusHype
Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic ImagesCode0
Spatially Aware Melanoma Segmentation Using Hybrid Deep Learning Techniques—0
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation—0
k-Means Clustering and Ensemble of Regressions: An Algorithm for the ISIC 2017 Skin Lesion Segmentation Challenge—0
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networksCode0
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural NetworksCode0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
Unsupervised domain adaptation in brain lesion segmentation with adversarial networksCode0
Pyramid Scene Parsing NetworkCode1
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random FieldsCode0
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