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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 601–610 of 640 papers

TitleStatusHype
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation—0
Liver lesion segmentation informed by joint liver segmentation—0
Tversky loss function for image segmentation using 3D fully convolutional deep networksCode0
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering—0
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
Semi-Supervised Deep Learning for Fully Convolutional NetworksCode0
Global and Local Information Based Deep Network for Skin Lesion Segmentation—0
Skin lesion segmentation based on preprocessing, thresholding and neural networks—0
Automatic skin lesion segmentation with fully convolutional-deconvolutional networksCode0
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