A deep learning-based semiautomated workflow for triaging follow-up MR scans in treated nasopharyngeal carcinoma.
Huang YY, Deng YS, Liu Y, Qiang MY, Qiu WZ, Xia WX, Jing BZ, Feng CY, Chen HH, Cao X, Zhou JY, Huang HY, Zhan ZJ, Deng Y, Tang LQ, Mai HQ, Sun Y, Xie CM, Guo X, Ke LR, Lv X, Li CF.
Huang YY, et al. Among authors: guo x.
iScience. 2023 Oct 29;26(12):108347. doi: 10.1016/j.isci.2023.108347. eCollection 2023 Dec 15.
iScience. 2023.
PMID: 38125021
Free PMC article.
We present a deep learning-based semiautomated workflow (RAINMAN) with 12,809 follow-up scans among 2,172 patients with treated nasopharyngeal carcinoma from three centers (ChiCTR.org.cn, Chi-CTR2200056595). A boost of diagnostic performance and reduced workload was observ …
We present a deep learning-based semiautomated workflow (RAINMAN) with 12,809 follow-up scans among 2,172 patients with treated nasopharynge …