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Application of Artificial Intelligence in Diagnosis of Craniopharyngioma

文献类型：期刊论文

作者Qin, Caijie2; Hu, Wenxing3; Wang, Xinsheng4; Ma, Xibo1,5,6
刊名FRONTIERS IN NEUROLOGY
出版日期2022-01-06
卷号12页码:16
ISSN号1664-2295
关键词craniopharyngioma tumor diagnosis machine learning deep learning
DOI10.3389/fneur.2021.752119
通讯作者Wang, Xinsheng(xswang@hit.edu.cn) ; Ma, Xibo(xibo.ma@ia.ac.cn)
英文摘要Craniopharyngioma is a congenital brain tumor with clinical characteristics of hypothalamic-pituitary dysfunction, increased intracranial pressure, and visual field disorder, among other injuries. Its clinical diagnosis mainly depends on radiological examinations (such as Computed Tomography, Magnetic Resonance Imaging). However, assessing numerous radiological images manually is a challenging task, and the experience of doctors has a great influence on the diagnosis result. The development of artificial intelligence has brought about a great transformation in the clinical diagnosis of craniopharyngioma. This study reviewed the application of artificial intelligence technology in the clinical diagnosis of craniopharyngioma from the aspects of differential classification, prediction of tissue invasion and gene mutation, prognosis prediction, and so on. Based on the reviews, the technical route of intelligent diagnosis based on the traditional machine learning model and deep learning model were further proposed. Additionally, in terms of the limitations and possibilities of the development of artificial intelligence in craniopharyngioma diagnosis, this study discussed the attentions required in future research, including few-shot learning, imbalanced data set, semi-supervised models, and multi-omics fusion.
WOS关键词FEATURE-SELECTION ; SEMANTIC SEGMENTATION ; IMAGE SEGMENTATION ; MANAGEMENT ; ACCURACY ; CLASSIFICATION ; RADIOMICS ; NETWORK
WOS研究方向Neurosciences & Neurology
语种英语
出版者FRONTIERS MEDIA SA
WOS记录号WOS:000745185600001
源URL[http://ir.ia.ac.cn/handle/173211/47247]  
专题自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心
通讯作者Wang, Xinsheng; Ma, Xibo
作者单位1.Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
2.Sanming Univ, Inst Informat Engn, Sanming, Peoples R China
3.Univ New South Wales, Sydney, NSW, Australia
4.Harbin Inst Technol Weihai, Sch Informat Sci & Engn, Weihai, Peoples R China
5.Chinese Acad Sci, Inst Automat, CBSR, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Qin, Caijie,Hu, Wenxing,Wang, Xinsheng,et al. Application of Artificial Intelligence in Diagnosis of Craniopharyngioma[J]. FRONTIERS IN NEUROLOGY,2022,12:16.
APA Qin, Caijie,Hu, Wenxing,Wang, Xinsheng,&Ma, Xibo.(2022).Application of Artificial Intelligence in Diagnosis of Craniopharyngioma.FRONTIERS IN NEUROLOGY,12,16.
MLA Qin, Caijie,et al."Application of Artificial Intelligence in Diagnosis of Craniopharyngioma".FRONTIERS IN NEUROLOGY 12(2022):16.

入库方式： OAI收割

来源：自动化研究所

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