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. |
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| 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 |
| Database: | MEDLINE Ultimate |
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