Small sample color fundus image quality assessment based on gcforest

doi:10.1007/s11042-020-09362-y

	Small sample color fundus image quality assessment based on gcforest
	Liu, Hao; Zhang, Ning; Jin, Shangang; Xu, Dayou; Gao, Weizhe
刊名	MULTIMEDIA TOOLS AND APPLICATIONS
	2021-05
卷号	80 期号:11 页码:17441-17459
关键词	Color fundus image Quality assessment Small sample Gcforest Re-sampling
ISSN号	1380-7501
DOI	10.1007/s11042-020-09362-y
英文摘要	Color fundus image quality greatly influence the doctors' diagnostic accuracy. However, the problems of imbalance data and small sample are the key issues of the color fundus images quality assessment. Hence, this paper purposes a small sample color fundus image quality assessment based on gcforest to solve these problems. Firstly, this paper extracts color and texture features to represent the quality of color fundus image. Next, re-sampling process is used to re-balance training data. Thirdly, the training data after re-balanced is sent to train gcforest which is a forest integration model. Finally, the trained gcforest which is good for small sample problem is used to evaluate color fundus images quality. Experiments demonstrate that the proposed method not only in color fundus image quality assessment but also in glaucoma classification task get good results.
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000557319900001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/148708]
专题	电气工程与信息工程学院
作者单位	Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Liu, Hao,Zhang, Ning,Jin, Shangang,et al. Small sample color fundus image quality assessment based on gcforest[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2021,80(11):17441-17459.
APA	Liu, Hao,Zhang, Ning,Jin, Shangang,Xu, Dayou,&Gao, Weizhe.(2021).Small sample color fundus image quality assessment based on gcforest.MULTIMEDIA TOOLS AND APPLICATIONS,80(11),17441-17459.
MLA	Liu, Hao,et al."Small sample color fundus image quality assessment based on gcforest".MULTIMEDIA TOOLS AND APPLICATIONS 80.11(2021):17441-17459.