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Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features.

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Title: Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features.
Authors: Hao P; Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China., Yu Y; AIgorithm Department, Dianei Technology, Shanghai, China., Huang CT; Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China., Zhou F; Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China., Xu YK; Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China., Yang J; AIgorithm Department, Dianei Technology, Shanghai, China.; Computer Vision Laboratory, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland., Xu J; Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Source: Frontiers in oncology [Front Oncol] 2024 Nov 15; Vol. 14, pp. 1464555. Date of Electronic Publication: 2024 Nov 15 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features.
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  Data: <searchLink fieldCode="AU" term="%22Hao+P%22">Hao P</searchLink>; Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Yu+Y%22">Yu Y</searchLink>; AIgorithm Department, Dianei Technology, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Huang+CT%22">Huang CT</searchLink>; Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Zhou+F%22">Zhou F</searchLink>; Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Xu+YK%22">Xu YK</searchLink>; Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Yang+J%22">Yang J</searchLink>; AIgorithm Department, Dianei Technology, Shanghai, China.; Computer Vision Laboratory, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Xu+J%22">Xu J</searchLink>; Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
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  Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2024 Nov 15; Vol. 14, pp. 1464555. <i>Date of Electronic Publication: </i>2024 Nov 15 (<i>Print Publication: </i>2024).
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        Value: 10.3389/fonc.2024.1464555
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      – TitleFull: Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features.
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              Text: 2024 Nov 15
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