Deep Learning Methodology for Differentiating Glioma Recurrence From Radiation Necrosis Using Multimodal Magnetic Resonance Imaging: Algorithm Development and Validation
BackgroundThe radiological differential diagnosis between tumor recurrence and radiation-induced necrosis (ie, pseudoprogression) is of paramount importance in the management of glioma patients. ObjectiveThis research aims to develop a deep learning methodology fo...
Main Authors: | , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2020-11-01
|
Series: | JMIR Medical Informatics |
Online Access: | http://medinform.jmir.org/2020/11/e19805/ |