Transfer learning-based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma.

"to initialize the encoder for the target classification task we employed models genesis an openly available deep learning model on github ( https://github com/mrgiovanni/modelsgenesis git )."

"Declarations Ethics approval and consent to participateThe study protocol followed the Helsinki Declaration and was approved by the Ethics Committee of the Third Affiliated Hospital of Soochow University (No. [2022] KD 087) and waived the need for informed consent from the patients. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

"Funding This study was supported by Major Project of Changzhou Health Commission (Grant No. ZD202109), Key Laboratory of Changzhou High-tech Research Project (Grant No. CM20193010), Young Talent Development Plan of Changzhou Health Commission (Grant No. CZQM2020012), and 2022 Changzhou "14th Five-Year Plan" Health and Health High-level Talent Training Project-Top-notch talents (2022260)."