Development and validation of a deep learning algorithm for discriminating glioma recurrence from radiation necrosis on MRI.
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| Title: | Development and validation of a deep learning algorithm for discriminating glioma recurrence from radiation necrosis on MRI. |
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| Authors: | Ying YZ; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China., Cai XH; Institute of Computing Technology, Chinese Academy of Sciences, Xiamen, China.; School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China., Yang H; Institute of Computing Technology, Chinese Academy of Sciences, Xiamen, China.; School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China., Huang HW; Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China., Zheng D; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China., Li HY; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China., Dong GH; Departments of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China., Wang YG; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China., Jiang ZL; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China., An ZL; Institute of Computing Technology, Chinese Academy of Sciences, Xiamen, China.; School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China., Zhang GB; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. |
| Source: | Frontiers in oncology [Front Oncol] 2025 Jun 06; Vol. 15, pp. 1573700. Date of Electronic Publication: 2025 Jun 06 (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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