Application of Artificial Intelligence in Diagnosis of Craniopharyngioma

doi:10.3389/fneur.2021.752119

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 生物识别与安全技术

	Application of Artificial Intelligence in Diagnosis of Craniopharyngioma
	Qin, Caijie 1; Hu, Wenxing 2; Wang, Xinsheng 3; Ma, Xibo4,5,6
发表期刊	FRONTIERS IN NEUROLOGY
ISSN	1664-2295
	2022-01-06
卷号	12 页码:16
通讯作者	Wang, Xinsheng(xswang@hit.edu.cn) ; Ma, Xibo(xibo.ma@ia.ac.cn)
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.
关键词	craniopharyngioma tumor diagnosis machine learning deep learning
DOI	10.3389/fneur.2021.752119
关键词[WOS]	FEATURE-SELECTION ; SEMANTIC SEGMENTATION ; IMAGE SEGMENTATION ; MANAGEMENT ; ACCURACY ; CLASSIFICATION ; RADIOMICS ; NETWORK
收录类别	SCI
语种	英语
WOS研究方向	Neurosciences & Neurology
WOS类目	Clinical Neurology ; Neurosciences
WOS记录号	WOS:000745185600001
出版者	FRONTIERS MEDIA SA
七大方向——子方向分类	人工智能+医疗
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/47248
专题	多模态人工智能系统全国重点实验室_生物识别与安全技术
通讯作者	Wang, Xinsheng; Ma, Xibo
作者单位	1.Sanming Univ, Inst Informat Engn, Sanming, Peoples R China 2.Univ New South Wales, Sydney, NSW, Australia 3.Harbin Inst Technol Weihai, Sch Informat Sci & Engn, Weihai, Peoples R China 4.Chinese Acad Sci, Inst Automat, CBSR, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China 6.Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
通讯作者单位	中国科学院自动化研究所; 模式识别国家重点实验室
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.