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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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  Data: <searchLink fieldCode="AU" term="%22Dong+J%22">Dong J</searchLink>; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhang+C%22">Zhang C</searchLink>; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhao+L%22">Zhao L</searchLink>; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhao+G%22">Zhao G</searchLink>; Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Li+W%22">Li W</searchLink>; Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Cheng+Y%22">Cheng Y</searchLink>; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Ping+T%22">Ping T</searchLink>; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Wei+F%22">Wei F</searchLink>; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Q%22">Zhang Q</searchLink>; School of Artificial Intelligence, Zhongyuan University of Technology, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+W%22">Wang W</searchLink>; Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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  Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2025 Nov 12; Vol. 15, pp. 1700694. <i>Date of Electronic Publication: </i>2025 Nov 12 (<i>Print Publication: </i>2025).
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