title: An improved arteriovenous classification method for the early diagnostics of various diseases in retinal image.
abstract: Retinal artery and vein classification is an important task for the automatic computer-aided diagnosis of various eye diseases and systemic diseases. This paper presents an improved supervised artery and vein classification method in retinal image.
  Intra-image regularization and inter-subject normalization is applied to reduce the differences in feature space. Novel features, including first-order and second-order texture features, are utilized to capture the discriminating characteristics of arteries and veins.
  The proposed method was tested on the DRIVE dataset and achieved an overall accuracy of 0.923.
  This retinal artery and vein classification algorithm serves as a potentially important tool for the early diagnosis of various diseases, including diabetic retinopathy and cardiovascular diseases.
authors.affiliation: The Key Laboratory of Biomedical Information Engineering, Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China; Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China. Electronic address: xiayuxu@xjtu.edu.cn.
authors.forename: Xiayu
authors.initials: X
authors.lastname: Xu
authors.affiliation: The Key Laboratory of Biomedical Information Engineering, Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China; Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China.
authors.forename: Wenxiang
authors.initials: W
authors.lastname: Ding
authors.affiliation: Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA 52242, USA.
authors.forename: Michael D
authors.initials: MD
authors.lastname: Abràmoff
authors.affiliation: The Key Laboratory of Biomedical Information Engineering, Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China; Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China. Electronic address: ruofanc@mail.xjtu.edu.cn.
authors.forename: Ruofan
authors.initials: R
authors.lastname: Cao
mesh_terms: D042241:Early Diagnosis; D006801:Humans; D012161:Retinal Artery / Q000473:pathology*; D012164:Retinal Diseases / Q000175:diagnosis* / Q000473:pathology; D012169:Retinal Vein / Q000473:pathology
keywords: Arteriovenous classification; Computer-aided diagnostics; Image analysis; Retinal image