Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring

Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring

The Brain Tumor Segmentation (BraTS) Challenge has been a main driver of the development of deep learning (DL) algorithms and provides by far the largest publicly available expert-annotated brain tumour dataset but contains solely preoperative examinations. The aim of our study was to facilitate the...

Full description

Saved in:
Bibliographic Details
Main Authors: Peter Jagd Sørensen, Claes Nøhr Ladefoged, Vibeke Andrée Larsen, Flemming Littrup Andersen, Michael Bachmann Nielsen, Hans Skovgaard Poulsen, Jonathan Frederik Carlsen, Adam Espe Hansen
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Tomography
Subjects:
brain tumour segmentation
treatment monitoring
postoperative
annotation protocol
automatic
deep learning algorithm
Online Access:https://www.mdpi.com/2379-139X/10/9/105
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2379-139X/10/9/105

Similar Items