Magnetic Resonance Imaging Radiomics-Driven Artificial Neural Network Model for Advanced Glioma Grading Assessment.
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| Title: | Magnetic Resonance Imaging Radiomics-Driven Artificial Neural Network Model for Advanced Glioma Grading Assessment. |
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| Authors: | Qin Y; Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, China.; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China., You W; Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, China., Wang Y; Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, China., Zhang Y; Communication Sciences and Disorders, Oklahoma State University, Stillwater, OK 74075, USA., Xu Z; Department of Pathology, Xiangya Hospital, Central South University, Changsha 410008, China., Li Q; Department of Pathology, Xiangya Hospital, Central South University, Changsha 410008, China., Zhao Y; School of Computer Science and Engineering, South China University of Technology, Guangzhou 510640, China., Mou Z; Department of Rehabilitation, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China., Mao Y; Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, China.; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China. |
| Source: | Medicina (Kaunas, Lithuania) [Medicina (Kaunas)] 2025 Jun 03; Vol. 61 (6). Date of Electronic Publication: 2025 Jun 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 9425208 Publication Model: Electronic Cited Medium: Internet ISSN: 1648-9144 (Electronic) Linking ISSN: 1010660X NLM ISO Abbreviation: Medicina (Kaunas) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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