Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study.

"a full-resolution 3d model was applied rather than a 2d model or cascade approach (see supplementary material s2 and supplementary fig 1 ) (source code on https://github com/jieunp/bm_detection_ai )."

"Declaration Ethics approval and consent to participateThis multi-center retrospective study was approved by the institutional review boards of the participating institutions. Requirement for patient consent was waived owing to the retrospective study design. Consent for publicationNot applicable. Competing interestsThe author from the medical industry (N.K., technical director) provided technical support of this work by providing a deep learning-based detection algorithm. The algorithm is not a product or service from the company and there was no conflict of interest. Competing interests The author from the medical industry (N.K., technical director) provided technical support of this work by providing a deep learning-based detection algorithm. The algorithm is not a product or service from the company and there was no conflict of interest."

"Funding This research received funding from the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Korean government (MSIP) (grant number: RS-2023-00208227) and the Ministry of Health & Welfare, Republic of Korea (HI21C1161). This study was also supported by a research fund from the Korean Society of Radiology through Radiology Imaging Network of Korea for Clinical Research (RINK-CR)."