Figure 3 from Deep Learning Predicts <i>EGFR</i> Mutation Status from Histology Images in Non–Small Cell Lung Cancer

Figure 3 from Deep Learning Predicts <i>EGFR</i> Mutation Status from Histology Images in Non–Small Cell Lung Cancer

<p>Generalized performance across different whole-slide scanners and magnifications in test set C (<i>n</i> = 2,261). <b>A</b> and <b>B,</b> Binary classification performance for <i>EGFR</i> mutation prediction across six scanner types (<b>...

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Bibliographic Details
Main Author:	Jongchan Park (22800721) (author)
Other Authors:	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)
Published:	2025
Subjects:	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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