Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data

INTRODUCTION: Deep learning-based algorithms have demonstrated enormous performance in segmentation of medical images. We collected a dataset of multiparametric MRI and contour data acquired for use in radiosurgery, to evaluate the performance of deep convolutional neural networks (DCNN) in automati...

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Bibliographic Details
Published in:Radiat Oncol
Main Authors: Bousabarah, Khaled, Ruge, Maximilian, Brand, Julia-Sarita, Hoevels, Mauritius, Rueß, Daniel, Borggrefe, Jan, Große Hokamp, Nils, Visser-Vandewalle, Veerle, Maintz, David, Treuer, Harald, Kocher, Martin
Format: Artigo
Language:Inglês
Published: BioMed Central 2020
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Research
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7171921/
https://ncbi.nlm.nih.gov/pubmed/32312276
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13014-020-01514-6
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