Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis

Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis

Abstract Background Automatic tumor segmentation based on Convolutional Neural Networks (CNNs) has shown to be a valuable tool in treatment planning and clinical decision making. We investigate the influence of 7 MRI input channels of a CNN with respect to the segmentation performance of head&ne...

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Bibliographic Details
Main Authors: Lars Bielak, Nicole Wiedenmann, Arnie Berlin, Nils Henrik Nicolay, Deepa Darshini Gunashekar, Leonard Hägele, Thomas Lottner, Anca-Ligia Grosu, Michael Bock
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Radiation Oncology
Subjects:
Multi-parametric MRI
Radiation therapy
Automatic tumor segmentation
Convolutional neuronal network
Online Access:http://link.springer.com/article/10.1186/s13014-020-01618-z

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http://link.springer.com/article/10.1186/s13014-020-01618-z

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