This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1407) Imaging Informatics (193) Machine Learning (1465) Innovations in Cancer Diagnostic and Decision Support (58)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16709, first published .
Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation

Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation

Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation

Authors of this article:

Kun-Hsing Yu1, 2, 3 Author Orcid Image ;   Tsung-Lu Michael Lee4 Author Orcid Image ;   Ming-Hsuan Yen5, 6 Author Orcid Image ;   S C Kou2 Author Orcid Image ;   Bruce Rosen7, 8 Author Orcid Image ;   Jung-Hsien Chiang6 Author Orcid Image ;   Isaac S Kohane1, 8 Author Orcid Image
Article Authors Cited by (49) Tweetations (19) Metrics

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  16. Bhavani K, Gopalakrishna M. COMPARATIVE ANALYSIS OF TRADITIONAL CLASSIFICATION AND DEEP LEARNING IN LUNG CANCER PREDICTION. Biomedical Engineering: Applications, Basis and Communications 2023;35(02) View
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