Automated Koos Classification of Vestibular Schwannoma

Automated Koos Classification of Vestibular Schwannoma

ObjectiveThe Koos grading scale is a frequently used classification system for vestibular schwannoma (VS) that accounts for extrameatal tumor dimension and compression of the brain stem. We propose an artificial intelligence (AI) pipeline to fully automate the segmentation and Koos classification of...

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Bibliographic Details
Main Authors: Aaron Kujawa, Reuben Dorent, Steve Connor, Anna Oviedova, Mohamed Okasha, Diana Grishchuk, Sebastien Ourselin, Ian Paddick, Neil Kitchen, Tom Vercauteren, Jonathan Shapey
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Radiology
Subjects:
vestibular schwannoma
classification
segmentation
deep learning
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fradi.2022.837191/full

Internet

https://www.frontiersin.org/articles/10.3389/fradi.2022.837191/full

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