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Multiscale Vessel Extraction in Retinal Images Using Machine Learning Techniques

EasyChair Preprint no. 2933

4 pagesDate: March 11, 2020

Abstract

In this work propose a technique for automatic analysis for retinal images .The retinal image diagnosis is an important methodology for diabetic retino therapy detection and analysis. And it is used to identify the diabetic in earlier stage by evaluating all the retinal blood vessels together. This approach uses intensity information and local phase based filter technique and catchy based filter technique.

Keyphrases: Cardio Vascular Disease, Retinal image, Vessel extractiom

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:2933,
  author = {Ravi Abarna and Anitha Gnanaselvi},
  title = {Multiscale Vessel Extraction in Retinal Images Using Machine Learning Techniques},
  howpublished = {EasyChair Preprint no. 2933},

  year = {EasyChair, 2020}}
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