Corrigendum: Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2020-10-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2020.608365/full |
| _version_ | 1818509070059962368 |
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| author | Fangyi Xu Wenchao Zhu Yao Shen Yao Shen Jian Wang Rui Xu Rui Xu Chooah Outesh Lijiang Song Yi Gan Cailing Pu Hongjie Hu |
| author_facet | Fangyi Xu Wenchao Zhu Yao Shen Yao Shen Jian Wang Rui Xu Rui Xu Chooah Outesh Lijiang Song Yi Gan Cailing Pu Hongjie Hu |
| author_sort | Fangyi Xu |
| collection | DOAJ |
| first_indexed | 2024-12-10T22:40:28Z |
| format | Article |
| id | doaj.art-69784bc997c44bba953e577546591656 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-10T22:40:28Z |
| publishDate | 2020-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-69784bc997c44bba953e5775465916562022-12-22T01:30:43ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-10-011010.3389/fonc.2020.608365608365Corrigendum: Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung AdenocarcinomaFangyi Xu0Wenchao Zhu1Yao Shen2Yao Shen3Jian Wang4Rui Xu5Rui Xu6Chooah Outesh7Lijiang Song8Yi Gan9Cailing Pu10Hongjie Hu11Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Radiology, Yinzhou Hospital Affiliated With the School of Medicine of Ningbo University, Ningbo, ChinaDepartment of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, ChinaDUT-RU International School of Information Science & Engineering, Dalian University of Technology, Dalian, ChinaDUT-RU Co-Research Center of Advanced ICT for Active Life, Dalian, ChinaDepartment of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Cardiothoracic Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Pathology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Chinahttps://www.frontiersin.org/articles/10.3389/fonc.2020.608365/fullradiomicslung canceradenocarcinomacomputed tomographymachine learning |
| spellingShingle | Fangyi Xu Wenchao Zhu Yao Shen Yao Shen Jian Wang Rui Xu Rui Xu Chooah Outesh Lijiang Song Yi Gan Cailing Pu Hongjie Hu Corrigendum: Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma Frontiers in Oncology radiomics lung cancer adenocarcinoma computed tomography machine learning |
| title | Corrigendum: Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma |
| title_full | Corrigendum: Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma |
| title_fullStr | Corrigendum: Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma |
| title_full_unstemmed | Corrigendum: Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma |
| title_short | Corrigendum: Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma |
| title_sort | corrigendum radiomic based quantitative ct analysis of pure ground glass nodules to predict the invasiveness of lung adenocarcinoma |
| topic | radiomics lung cancer adenocarcinoma computed tomography machine learning |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2020.608365/full |
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