Precise diagnosis of pediatric posterior cranial fossa neoplasms based on 2.5D MRI deep learning.

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Title: Precise diagnosis of pediatric posterior cranial fossa neoplasms based on 2.5D MRI deep learning.
Authors: Dong J; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China., Zhang C; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China., Zhang Y; Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China., Zhao L; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China., Zhao G; Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China., Li W; Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China., Cheng Y; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China., Wang X; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China., Ping T; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China., Wang X; Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China., Wei F; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China., Zhang Q; School of Artificial Intelligence, Zhongyuan University of Technology, Zhengzhou, China., Li Y; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China., Wang W; Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Source: Frontiers in oncology [Front Oncol] 2025 Nov 12; Vol. 15, pp. 1700694. Date of Electronic Publication: 2025 Nov 12 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2234-943X
DOI:10.3389/fonc.2025.1700694