Generalization vs. Specificity: In Which Cases Should a Clinic Train its Own Segmentation Models?

Generalization vs. Specificity: In Which Cases Should a Clinic Train its Own Segmentation Models?

As artificial intelligence for image segmentation becomes increasingly available, the question whether these solutions generalize between different hospitals and geographies arises. The present study addresses this question by comparing multi-institutional models to site-specific models. Using CT da...

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Bibliographic Details
Main Authors: Jan Schreier, Francesca Attanasi, Hannu Laaksonen
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Oncology
Subjects:
deep learning
segmentation
radiotherapy planning
neural network
generalizability
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.00675/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2020.00675/full

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