Deep Learning Features and Metabolic Tumor Volume Based on PET/CT to Construct Risk Stratification in Non-small Cell Lung Cancer.

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Title: Deep Learning Features and Metabolic Tumor Volume Based on PET/CT to Construct Risk Stratification in Non-small Cell Lung Cancer.
Authors: Ju L; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China., Li W; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China., Zuo R; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China., Chen Z; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China., Li Y; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China., Feng Y; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China., Xiang Y; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China., Pang H; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China. Electronic address: phua1973@163.com.
Source: Academic radiology [Acad Radiol] 2024 Nov; Vol. 31 (11), pp. 4661-4675. Date of Electronic Publication: 2024 May 12.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Association Of University Radiologists Country of Publication: United States NLM ID: 9440159 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-4046 (Electronic) Linking ISSN: 10766332 NLM ISO Abbreviation: Acad Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep Learning Features and Metabolic Tumor Volume Based on PET/CT to Construct Risk Stratification in Non-small Cell Lung Cancer.
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  Data: <searchLink fieldCode="AU" term="%22Ju+L%22">Ju L</searchLink>; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.<br /><searchLink fieldCode="AU" term="%22Li+W%22">Li W</searchLink>; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.<br /><searchLink fieldCode="AU" term="%22Zuo+R%22">Zuo R</searchLink>; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.<br /><searchLink fieldCode="AU" term="%22Chen+Z%22">Chen Z</searchLink>; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.<br /><searchLink fieldCode="AU" term="%22Feng+Y%22">Feng Y</searchLink>; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.<br /><searchLink fieldCode="AU" term="%22Xiang+Y%22">Xiang Y</searchLink>; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.<br /><searchLink fieldCode="AU" term="%22Pang+H%22">Pang H</searchLink>; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China. Electronic address: phua1973@163.com.
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  Data: <searchLink fieldCode="JN" term="%229440159%22">Academic radiology</searchLink> [Acad Radiol] 2024 Nov; Vol. 31 (11), pp. 4661-4675. <i>Date of Electronic Publication: </i>2024 May 12.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Association+Of+University+Radiologists%22">Association Of University Radiologists </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9440159 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1878-4046 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210766332%22">10766332 </searchLink><i>NLM ISO Abbreviation: </i>Acad Radiol <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.acra.2024.04.036
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        Text: English
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        StartPage: 4661
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      – TitleFull: Deep Learning Features and Metabolic Tumor Volume Based on PET/CT to Construct Risk Stratification in Non-small Cell Lung Cancer.
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              M: 11
              Text: 2024 Nov
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              Y: 2024
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