Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2024.1546763/full |
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| author | Zijian Zheng Zijian Zheng He Wang Qianxi Chen Qianxi Chen Zhicheng Wang Zhicheng Wang Jun Fu Jun Fu Wenjian Fan Wenjian Fan Yuanxiang Lin Yuanxiang Lin Dezhi Kang Dezhi Kang Dezhi Kang Changzhen Jiang Changzhen Jiang Zhangya Lin Zhangya Lin Xiaorong Yan Xiaorong Yan Xiaorong Yan |
| author_facet | Zijian Zheng Zijian Zheng He Wang Qianxi Chen Qianxi Chen Zhicheng Wang Zhicheng Wang Jun Fu Jun Fu Wenjian Fan Wenjian Fan Yuanxiang Lin Yuanxiang Lin Dezhi Kang Dezhi Kang Dezhi Kang Changzhen Jiang Changzhen Jiang Zhangya Lin Zhangya Lin Xiaorong Yan Xiaorong Yan Xiaorong Yan |
| author_sort | Zijian Zheng |
| collection | DOAJ |
| format | Article |
| id | doaj-art-b85ba0d219fe4e5dad0b7e957ba72d5c |
| institution | Kabale University |
| issn | 1664-2392 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj-art-b85ba0d219fe4e5dad0b7e957ba72d5c2025-01-28T17:05:29ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-01-011510.3389/fendo.2024.15467631546763Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective studyZijian Zheng0Zijian Zheng1He Wang2Qianxi Chen3Qianxi Chen4Zhicheng Wang5Zhicheng Wang6Jun Fu7Jun Fu8Wenjian Fan9Wenjian Fan10Yuanxiang Lin11Yuanxiang Lin12Dezhi Kang13Dezhi Kang14Dezhi Kang15Changzhen Jiang16Changzhen Jiang17Zhangya Lin18Zhangya Lin19Xiaorong Yan20Xiaorong Yan21Xiaorong Yan22Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, China International Neuroscience Institute, Beijing, ChinaDepartment of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaFujian Provincial Institutes of Brain Disorders and Brain Sciences, First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, ChinaFujian Provincial Institutes of Brain Disorders and Brain Sciences, First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, Chinahttps://www.frontiersin.org/articles/10.3389/fendo.2024.1546763/fullpituitary adenomaclinical practical modelvisual outcomegraphic segmentationmachine learning (ML) |
| spellingShingle | Zijian Zheng Zijian Zheng He Wang Qianxi Chen Qianxi Chen Zhicheng Wang Zhicheng Wang Jun Fu Jun Fu Wenjian Fan Wenjian Fan Yuanxiang Lin Yuanxiang Lin Dezhi Kang Dezhi Kang Dezhi Kang Changzhen Jiang Changzhen Jiang Zhangya Lin Zhangya Lin Xiaorong Yan Xiaorong Yan Xiaorong Yan Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study Frontiers in Endocrinology pituitary adenoma clinical practical model visual outcome graphic segmentation machine learning (ML) |
| title | Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study |
| title_full | Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study |
| title_fullStr | Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study |
| title_full_unstemmed | Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study |
| title_short | Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study |
| title_sort | corrigendum a clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study |
| topic | pituitary adenoma clinical practical model visual outcome graphic segmentation machine learning (ML) |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2024.1546763/full |
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