Deep-learning-based automatic segmentation and classification for craniopharyngiomas.

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Bibliographic Details
Title: Deep-learning-based automatic segmentation and classification for craniopharyngiomas.
Authors: Yan X; Department of Neurosurgery, First affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China., Lin B; Department of Medical Image Center, Southern Medical University, Nanfang Hospital, Guangzhou, China., Fu J; Department of Neurosurgery, First affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China., Li S; Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China., Wang H; Department of Neurosurgery, Peking Union Medical College Hospital, Beijing, China.; Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, China International Neuroscience Institute, Beijing, China., Fan W; Department of Neurosurgery, First affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China., Fan Y; Department of Neurosurgery, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China., Feng M; Department of Neurosurgery, Peking Union Medical College Hospital, Beijing, China., Wang R; Department of Neurosurgery, Peking Union Medical College Hospital, Beijing, China., Fan J; Department of Neurosurgery, Southern Medical University, Nanfang Hospital, Fuzhou, Fujian, China., Qi S; Department of Neurosurgery, Southern Medical University, Nanfang Hospital, Fuzhou, Fujian, China., Jiang C; Department of Neurosurgery, First affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Source: Frontiers in oncology [Front Oncol] 2023 May 05; Vol. 13, pp. 1048841. Date of Electronic Publication: 2023 May 05 (Print Publication: 2023).
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
Description
ISSN:2234-943X
DOI:10.3389/fonc.2023.1048841