详情页 - 首都医科大学宣武医院知识库

当前位置：首页 > 详情页

Knowledge-Based Machine Learning for Glaucoma Diagnosis from Fundus Image Data

文献详情

资源类型：

收录情况： ◇ SCIE

作者：

机构： [1]Beijing Univ Chem Technol, Dept Math, Beijing 100029, Peoples R China; [2]Capital Med Univ, Beijing Childrens Hosp, Dept Ophthalmol, Natl Key Discipline Pediat,Minist Educ, Beijing 100045, Peoples R China; [3]Northwest A&F Univ, Sch Sci, Yangling 712100, Peoples R China; [4]City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China; [5]Cent S Univ, State Key Lab High Performance Complex Mfg, Changsha 410083, Peoples R China

出处：

DOI：

ISSN：

关键词： Machine Learning Glaucoma Diagnosis Fundus Image ISNT Rule

摘要：

In recent years, the computer-aided diagnosis of glaucoma has seen great developmental strides. In this paper, we present algorithms for glaucoma diagnosis from fundus images by incorporating doctors' knowledge into algorithm development. We extract features of the fundus images from optic disc and optic cup boundary lines that were drawn by doctors, and from these features, predictions are made. To the optic disc and optic cup boundary lines, we meticulously divide the area based on doctors' knowledge and then conduct principal component analysis to extract the features. The extracted features correspond well with doctors' knowledge so that the diagnostic results can be intuitively explained, rather than just generate a black-box forecast. On a real sample set, the proposed feature extraction and diagnosis algorithms achieve good mean prediction accuracy.

基金：

语种：

被引次数：

WOS：

中科院(CAS)分区：

出版当年[2013]版：

大类 | 4 区医学

小类 | 4 区数学与计算生物学 4 区核医学

最新[2023]版：

无

JCR分区：

出版当年[2012]版：

Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

最新[2023]版：

无

影响因子： 0 最新[2023版] 0 最新五年平均 0.642 出版当年[2012版] 0.642 出版当年五年平均 0 出版前一年[2011版] 0.623 出版后一年[2013版]

第一作者：

第一作者机构： [1]Beijing Univ Chem Technol, Dept Math, Beijing 100029, Peoples R China;

通讯作者：

通讯机构： [1]Beijing Univ Chem Technol, Dept Math, Beijing 100029, Peoples R China;

推荐引用方式(GB/T 7714)：

APA：

MLA：

相关文献

[1]Feature Extraction from Optic Disc and Cup Boundary Lines in Fundus Images Based on ISNT Rule for Glaucoma Diagnosis [2]Computer-aided Diagnosis of Glaucoma Using Fundus Images [3]Computer-aided diagnosis of glaucoma using fundus images [4]Optic cup segmentation from fundus images for glaucoma diagnosis [5]Applications of Machine Learning to Diagnosis of Parkinson's Disease [6]Machine learning in Alzheimer's disease drug discovery and target identification [7]Characterizing the hyper- and hypometabolism in temporal lobe epilepsy using multivariate machine learning [8]RDAD: A Machine Learning System to Support Phenotype-Based Rare Disease Diagnosis [9]Shared Feature Learning Based on Prior Information for Glaucoma Diagnosis [10]Machine learning for the prediction of acute kidney injury and paraplegia after thoracoabdominal aortic aneurysm repair.