Recent Advancements in Retinal Vessel Segmentation.

Retinal vessel segmentation is a key step towards the accurate visualization, diagnosis, early treatment and surgery planning of ocular diseases. For the last two decades, a tremendous amount of research has been dedicated in developing automated methods for segmentation of blood vessels from retina...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Medical Systems Vol. 41; no. 4; pp. 1 - 23
Autores principales: L Srinidhi, Chetan, Aparna, P, Rajan, Jeny
Formato: equations & formulas pictorial review tables/charts Journal Article
Publicado: Springer Nature Apr2017
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=121741868&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 121741868
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: Apr2017
      vid: 41
      iid: 4
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        121741868
        121741868
        121741868
        10.1007/s10916-017-0719-2
        121741868
      ppf: 1
      ppct: 22
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Recent Advancements in Retinal Vessel Segmentation.
      aug:
        au:
          L Srinidhi, Chetan
          Aparna, P
          Rajan, Jeny
        affil: Department of Electronics and Communication Engineering , National Institute of Technology Karnataka , Surathkal India
      sug:
        subj:
          Diagnostic Imaging Methods
          Retinal Diseases Diagnosis
          Blood Vessels Physiopathology
          Image Interpretation, Computer Assisted
      ab: Retinal vessel segmentation is a key step towards the accurate visualization, diagnosis, early treatment and surgery planning of ocular diseases. For the last two decades, a tremendous amount of research has been dedicated in developing automated methods for segmentation of blood vessels from retinal fundus images. Despite the fact, segmentation of retinal vessels still remains a challenging task due to the presence of abnormalities, varying size and shape of the vessels, non-uniform illumination and anatomical variability between subjects. In this paper, we carry out a systematic review of the most recent advancements in retinal vessel segmentation methods published in last five years. The objectives of this study are as follows: first, we discuss the most crucial preprocessing steps that are involved in accurate segmentation of vessels. Second, we review most recent state-of-the-art retinal vessel segmentation techniques which are classified into different categories based on their main principle. Third, we quantitatively analyse these methods in terms of its sensitivity, specificity, accuracy, area under the curve and discuss newly introduced performance metrics in current literature. Fourth, we discuss the advantages and limitations of the existing segmentation techniques. Finally, we provide an insight into active problems and possible future directions towards building successful computer-aided diagnostic system.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N