Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network

Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network

An important challenge in segmenting real-world biomedical imaging data is the presence of multiple disease processes within individual subjects. Most adults above age 60 exhibit a variable degree of small vessel ischemic disease, as well as chronic infarcts, which will manifest as white matter hype...

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Bibliographic Details
Main Authors: Jeffrey D. Rudie, David A. Weiss, Rachit Saluja, Andreas M. Rauschecker, Jiancong Wang, Leo Sugrue, Spyridon Bakas, John B. Colby
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Computational Neuroscience
Subjects:
segmentation
glioblastoma
convolutional neural network
white matter hyperintensities
deep learning
radiology
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2019.00084/full

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https://www.frontiersin.org/article/10.3389/fncom.2019.00084/full

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