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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
Skin cancer reorganization and classification with deep neural network—0
ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection—0
Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic ImagesCode0
II-FCN for skin lesion analysis towards melanoma detection—0
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
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