NIMG-23. DEEP LEARNING FOR ACCURATE, RAPID, FULLY AUTOMATIC MEASUREMENT OF BRAIN TUMOR-ASSOCIATED ABNORMALITY SEEN ON MRI

INTRODUCTION: Brain tumors are difficult to segment in MRI scans. Consequently, we have developed a new system for completely automatic brain tumor segmentation by combining a state-of-the-art 3D deep convolutional neural network (CNN) with a large collection of curated segmentations of brain tumors...

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Detalhes bibliográficos
Publicado no:Neuro Oncol
Main Authors: Mitchell, Joseph, Kamnitsas, Konstantinos, Singleton, Kyle, Whitmire, Scott, Clark-Swanson, Kamala, Rickertsen, Cassandra, Glocker, Ben, Hu, Leland, Swanson, Kristin
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2018
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Abstracts
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6217340/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noy148.749
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