A multiscale approach to automatic and unsupervised retinal vessel segmentation using Self-Organizing Maps

Domenico Tegolo, Carmen Alina Lupascu, Carmen Alina Lupascu

Risultato della ricerca: Otherpeer review

Abstract

In this paper an automatic unsupervised method for retinal vessel segmentation is described. Self-Organizing Map, modified Fuzzy C-Means, STAPLE algorithms and majority voting strategy were adopted to identify a segmentation of the retinal vessels. The performance of the proposed method was evaluated on the DRIVE database.
Lingua originaleEnglish
Pagine182-189
Numero di pagine8
Stato di pubblicazionePublished - 2016

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1700.1709???
  • ???subjectarea.asjc.1700.1707???
  • ???subjectarea.asjc.1700.1705???

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