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

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

Abstract Objectives To assess whether a deep learning-based system (DLS) with black-blood imaging for brain metastasis (BM) improves the diagnostic workflow in a multi-center setting. Materials and methods In this retrospective study, a DLS was developed in 101 patients and validated on 264 consecut...

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Bibliographic Details
Main Authors: Yae Won Park, Ji Eun Park, Sung Soo Ahn, Kyunghwa Han, NakYoung Kim, Joo Young Oh, Da Hyun Lee, So Yeon Won, Ilah Shin, Ho Sung Kim, Seung-Koo Lee
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Cancer Imaging
Subjects:
Brain metastases
Brain tumors
Deep learning
Magnetic resonance imaging
Online Access:https://doi.org/10.1186/s40644-024-00669-9

Internet

https://doi.org/10.1186/s40644-024-00669-9

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