Table 1 from Deep Learning Predicts <i>EGFR</i> Mutation Status from Histology Images in Non–Small Cell Lung Cancer

<p>Baseline characteristics of the training set and tuning set.</p>

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Détails bibliographiques
Auteur principal:	Jongchan Park (22800721) (author)
Autres auteurs:	Sangwon Shin (22800724) (author), Woochan Hwang (22800727) (author), Seongho Keum (22800730) (author), Biagio Brattoli (22800733) (author), Jack H. Rawson (22800736) (author), Taebum Lee (19848798) (author), Sérgio Pereira (22800739) (author), Chang Ho Ahn (19848795) (author), Michael J.T. Senior (22800742) (author), Talha Qaiser (22800745) (author), Seokhwi Kim (22800748) (author), Hyojin Kim (8982083) (author), Jin-Haeng Chung (22800751) (author), Yoon-La Choi (15043188) (author), Se-Hoon Lee (14959418) (author), Huw Bannister (22800754) (author), Elia Riboni-Verri (22800757) (author), Chan-Young Ock (14959415) (author), Ross J. Hill (22800760) (author), Siraj Ali (22800763) (author), Luiza Moore (21536791) (author)
Publié:	2025
Sujets:	Cancer Cancer Biology Cancer Detection and Diagnosis Clinical Research and Trials Methods and Technology Computational Methods Diagnostic Biomarkers Lung Cancer Oncogenes & Tumor Suppressors Precision Medicine
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