z-logo
open-access-imgOpen Access
Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population
Author(s) -
John T. Murchison,
Gillian Ritchie,
D. Senyszak,
Jeroen H. Nijwening,
Gerben van Veenendaal,
Joris Wakkie,
Edwin J.R. van Beek
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0266799
Subject(s) - medicine , nodule (geology) , radiology , cad , cohort , retrospective cohort study , lung , population , lung cancer screening , lung cancer , nuclear medicine , computed tomography , paleontology , environmental health , engineering drawing , engineering , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom