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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7171921/
https://www.ncbi.nlm.nih.gov/pubmed/32312276
http://dx.doi.org/10.1186/s13014-020-01514-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7171921/
https://www.ncbi.nlm.nih.gov/pubmed/32312276
http://dx.doi.org/10.1186/s13014-020-01514-6

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