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. |
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| 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 |
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| DOI: | 10.3389/fonc.2025.1700694 |