Deep learning for semi-automated unidirectional measurement of lung tumor size in CT

Deep learning for semi-automated unidirectional measurement of lung tumor size in CT

Abstract Background Performing Response Evaluation Criteria in Solid Tumor (RECISTS) measurement is a non-trivial task requiring much expertise and time. A deep learning-based algorithm has the potential to assist with rapid and consistent lesion measurement. Purpose The aim of this study is to deve...

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Bibliographic Details
Main Authors: MinJae Woo, A. Michael Devane, Steven C. Lowe, Ervin L Lowther, Ronald W. Gimbel
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Cancer Imaging
Subjects:
Lung Cancer
Response Evaluation Criteria in Solid Tumors 1.1
Semi-automated annotation
Tumor Measurement
Deep learning
Online Access:https://doi.org/10.1186/s40644-021-00413-7

Internet

https://doi.org/10.1186/s40644-021-00413-7

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