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...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Pubblicato in:Neuro Oncol
Autori principali: Mitchell, Joseph, Kamnitsas, Konstantinos, Singleton, Kyle, Whitmire, Scott, Clark-Swanson, Kamala, Rickertsen, Cassandra, Glocker, Ben, Hu, Leland, Swanson, Kristin
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2018
Soggetti:
Abstracts
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6217340/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noy148.749
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !

Documenti analoghi