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Deep Learning Predicts EGFR Mutation Status from Histology Images in Non-Small Cell Lung Cancer.

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Title: Deep Learning Predicts EGFR Mutation Status from Histology Images in Non-Small Cell Lung Cancer.
Authors: Park J; Lunit, Seoul, Republic of Korea., Shin S; Lunit, Seoul, Republic of Korea., Hwang W; Lunit, Seoul, Republic of Korea., Keum S; Lunit, Seoul, Republic of Korea., Brattoli B; Lunit, Seoul, Republic of Korea., Rawson JH; Astrazeneca, Cambridge, United Kingdom., Lee T; Lunit, Seoul, Republic of Korea., Pereira S; Lunit, Seoul, Republic of Korea., Ahn CH; Lunit, Seoul, Republic of Korea., Senior MJT; Astrazeneca, Cambridge, United Kingdom., Qaiser T; Astrazeneca, Cambridge, United Kingdom., Kim S; Department of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea., Kim H; Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Chung JH; Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Choi YL; Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Lee SH; Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Bannister H; Astrazeneca, Cambridge, United Kingdom., Riboni-Verri E; Astrazeneca, Cambridge, United Kingdom., Ock CY; Lunit, Seoul, Republic of Korea., Hill RJ; Astrazeneca, Cambridge, United Kingdom., Ali S; Lunit, Seoul, Republic of Korea., Moore L; Astrazeneca, Cambridge, United Kingdom.
Source: Cancer research communications [Cancer Res Commun] 2025 Dec 01; Vol. 5 (12), pp. 2127-2141.
Publication Type: Journal Article
Journal Info: Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 9918281580506676 Publication Model: Print Cited Medium: Internet ISSN: 2767-9764 (Electronic) Linking ISSN: 27679764 NLM ISO Abbreviation: Cancer Res Commun Subsets: MEDLINE
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  Data: Deep Learning Predicts EGFR Mutation Status from Histology Images in Non-Small Cell Lung Cancer.
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  Data: <searchLink fieldCode="AU" term="%22Park+J%22">Park J</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Shin+S%22">Shin S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Hwang+W%22">Hwang W</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Keum+S%22">Keum S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Brattoli+B%22">Brattoli B</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Rawson+JH%22">Rawson JH</searchLink>; Astrazeneca, Cambridge, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Lee+T%22">Lee T</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Pereira+S%22">Pereira S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ahn+CH%22">Ahn CH</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Senior+MJT%22">Senior MJT</searchLink>; Astrazeneca, Cambridge, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Qaiser+T%22">Qaiser T</searchLink>; Astrazeneca, Cambridge, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Department of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+H%22">Kim H</searchLink>; Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chung+JH%22">Chung JH</searchLink>; Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+YL%22">Choi YL</searchLink>; Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+SH%22">Lee SH</searchLink>; Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Bannister+H%22">Bannister H</searchLink>; Astrazeneca, Cambridge, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Riboni-Verri+E%22">Riboni-Verri E</searchLink>; Astrazeneca, Cambridge, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Ock+CY%22">Ock CY</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Hill+RJ%22">Hill RJ</searchLink>; Astrazeneca, Cambridge, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Ali+S%22">Ali S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Moore+L%22">Moore L</searchLink>; Astrazeneca, Cambridge, United Kingdom.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Association+for+Cancer+Research%22">American Association for Cancer Research </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9918281580506676 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2767-9764 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227679764%22">27679764 </searchLink><i>NLM ISO Abbreviation: </i>Cancer Res Commun <i>Subsets: </i>MEDLINE
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