Clinical Study of Artificial Intelligence-assisted Diagnosis System in Predicting the Invasive Subt...
Clinical Study of Artificial Intelligence-assisted Diagnosis System in Predicting the Invasive Subtypes of Early-stage Lung Adenocarcinoma Appearing as Pulmonary Nodules
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Author / Creator
Su, Zhipeng , Mao, Wenjie , Li, Bin , Zheng, Zhizhong , Yang, Bo , Ren, Meiyu , Song, Tieniu , Feng, Haiming and Meng, Yuqi
Publisher
China: Chinese Anti-Cancer Association Chinese Antituberculosis Association
Journal title
Language
Chinese
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Publication information
Publisher
China: Chinese Anti-Cancer Association Chinese Antituberculosis Association
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Scope and Contents
Contents
Lung cancer is the cancer with the highest mortality at home and abroad at present. The detection of lung nodules is a key step to reducing the mortality of lung cancer. Artificial intelligence-assisted diagnosis system presents as the state of the art in the area of nodule detection, differentiation between benign and malignant and diagnosis of in...
Alternative Titles
Full title
Clinical Study of Artificial Intelligence-assisted Diagnosis System in Predicting the Invasive Subtypes of Early-stage Lung Adenocarcinoma Appearing as Pulmonary Nodules
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c5c2103ac0c940eea9a8d91a138403f3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c5c2103ac0c940eea9a8d91a138403f3
Other Identifiers
ISSN
1009-3419
E-ISSN
1999-6187
DOI
10.3779/j.issn.1009-3419.2022.102.12
