Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

Abstract Using medical images to evaluate disease severity and change over time is a routine and important task in clinical decision making. Grading systems are often used, but are unreliable as domain experts disagree on disease severity category thresholds. These discrete categories also do not re...

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Bibliographic Details
Main Authors: Matthew D. Li, Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell, James M. Brown, Praveer Singh, Katharina V. Hoebel, Deniz Erdoğmuş, Stratis Ioannidis, William E. Palmer, Michael F. Chiang, Jayashree Kalpathy-Cramer
Format: Article
Language:English
Published: Nature Publishing Group 2020-03-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-020-0255-1

Internet

https://doi.org/10.1038/s41746-020-0255-1

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