Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI

Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI

In the context of brain tumour response assessment, deep learning-based three-dimensional (3D) tumour segmentation has shown potential to enter the routine radiological workflow. The purpose of the present study was to perform an external evaluation of a state-of-the-art deep learning 3D brain tumou...

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Bibliographic Details
Main Authors: Peter Jagd Sørensen, Jonathan Frederik Carlsen, Vibeke Andrée Larsen, Flemming Littrup Andersen, Claes Nøhr Ladefoged, Michael Bachmann Nielsen, Hans Skovgaard Poulsen, Adam Espe Hansen
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Diagnostics
Subjects:
brain tumour segmentation
treatment monitoring
routine
postoperative
automatic
deep learning algorithm
Online Access:https://www.mdpi.com/2075-4418/13/3/363

Internet

https://www.mdpi.com/2075-4418/13/3/363

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