An Effective Retinal Blood Vessel Segmentation by Using Automatic Random Walks Based on Centerline Extraction.
The retinal blood vessel analysis has been widely used in the diagnoses of diseases by ophthalmologists. According to the complex morphological characteristics of the blood vessels in normal and abnormal images, an automatic method by using the random walk algorithms based on the centerlines is prop...
| Publicado en: | BioMed Research International pp. 1 - 12 |
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| Autores principales: | , , |
| Formato: | diagnostic images equations & formulas pictorial research Journal Article |
| Publicado: |
Wiley-Blackwell
3/24/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142426604&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142426604 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 3/24/2020 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 142426604 142426604 142426604 10.1155/2020/7352129 142426604 ppf: 1 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: An Effective Retinal Blood Vessel Segmentation by Using Automatic Random Walks Based on Centerline Extraction. aug: au: Gao, Jianqing Chen, Guannan Lin, Wenru affil: Smart Home Information Collection and Processing on Internet of Things Laboratory of Digital Fujian, Fujian Jiangxia University, Fuzhou 350108, China sug: subj: Retina Blood Supply Blood Vessels Anatomy and Histology Diagnostic Imaging Methods Image Processing, Computer Assisted Image Enhancement Algorithms Sensitivity and Specificity ab: The retinal blood vessel analysis has been widely used in the diagnoses of diseases by ophthalmologists. According to the complex morphological characteristics of the blood vessels in normal and abnormal images, an automatic method by using the random walk algorithms based on the centerlines is proposed to segment retinal blood vessels. Hessian-based multiscale vascular enhancement filtering is used to display the vessel structures in maximum intensity projection. Random walk algorithm provides a unique and quality solution, which is robust to weak object boundaries. Seed groups in the random walk segmentation are labeled according to the centerlines, which are extracted by using the divergence of the normalized gradient vector field and the morphological method. Experiments of the proposed method are implemented on the publicly available STARE (the Structured Analysis of the Retina) database. The results are compared to other existing retinal blood vessel segmentation methods with respect to the accuracy, sensitivity, and specificity, and the proposed method is proved to be more sensitive in detecting the retinal blood vessels in both normal and pathological areas. pubtype: Academic Journal doctype: diagnostic images equations & formulas pictorial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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