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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Neuro Oncol
Hauptverfasser: Mitchell, Joseph, Kamnitsas, Konstantinos, Singleton, Kyle, Whitmire, Scott, Clark-Swanson, Kamala, Rickertsen, Cassandra, Glocker, Ben, Hu, Leland, Swanson, Kristin
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2018
Schlagworte:
Abstracts
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6217340/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noy148.749
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge