A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy response

A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy response

Background and purpose: Retrieving quantitative parameters from magnetic resonance imaging (MRI), e.g. for early assessment of radiotherapy treatment response, necessitates contouring regions of interest, which is time-consuming and prone to errors. This becomes more pressing for daily imaging on MR...

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Bibliographic Details
Main Authors: Oliver J. Gurney-Champion, Jennifer P. Kieselmann, Kee H. Wong, Brian Ng-Cheng-Hin, Kevin Harrington, Uwe Oelfke
Format: Article
Language:English
Published: Elsevier 2020-07-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Diffusion magnetic resonance imaging
Radiotherapy
Deep learning
Neural networks, Computer
Head and neck neoplasms
Lymph nodes
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631620300257

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http://www.sciencedirect.com/science/article/pii/S2405631620300257

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