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Accuracy and reproducibility of tumor size measurement using a deep-learning–based CDSS in resected lung cancer

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Published in:PLOS ONE
Format: Online Article RSS Article
Published: 2026
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discipline_display Engineering & Technology
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spellingShingle Accuracy and reproducibility of tumor size measurement using a deep-learning–based CDSS in resected lung cancer
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
subject_facet Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
title Accuracy and reproducibility of tumor size measurement using a deep-learning–based CDSS in resected lung cancer
title_auth Accuracy and reproducibility of tumor size measurement using a deep-learning–based CDSS in resected lung cancer
title_full Accuracy and reproducibility of tumor size measurement using a deep-learning–based CDSS in resected lung cancer
title_fullStr Accuracy and reproducibility of tumor size measurement using a deep-learning–based CDSS in resected lung cancer
title_full_unstemmed Accuracy and reproducibility of tumor size measurement using a deep-learning–based CDSS in resected lung cancer
title_short Accuracy and reproducibility of tumor size measurement using a deep-learning–based CDSS in resected lung cancer
title_sort accuracy and reproducibility of tumor size measurement using a deep-learning–based cdss in resected lung cancer
topic Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0344445