Publication detail

An Efficient Grading Algorithm for Non-Proliferative Diabetic Retinopathy using Region Based Detection

DUTTA, M. GANGULY, S. SRIVASTAVA, K. GANGULY, S. PARTHASARATHI, M. BURGET, R. MAŠEK, J.

Original Title

An Efficient Grading Algorithm for Non-Proliferative Diabetic Retinopathy using Region Based Detection

English Title

An Efficient Grading Algorithm for Non-Proliferative Diabetic Retinopathy using Region Based Detection

Type

conference paper

Language

en

Original Abstract

The paper proposes an image processing algorithm to grade the severity of Non Proliferative Diabetic Retinopathy. For this disease the most important parameter to classify the stage of the disease is the proximity of abnormalities from the centre of Macula. The proposed algorithm provides an efficient grading technique by segmenting the fundus image into specific regions of interest and avoids redundancy in computation. Instead of detecting abnormalities for the whole fundus image, the proposed method emphasizes on the segmented regions for the abnormalities, thereby reducing the computation time significantly. Furthermore, this approach provides a simple and direct method to measure the severity of the disease. This region based segmentation also has the advantage of a mesh lesser computational load making this process suitable for real time applications. The accuracy of this region based segmentation method is more than 80% when tested in a database.

English abstract

The paper proposes an image processing algorithm to grade the severity of Non Proliferative Diabetic Retinopathy. For this disease the most important parameter to classify the stage of the disease is the proximity of abnormalities from the centre of Macula. The proposed algorithm provides an efficient grading technique by segmenting the fundus image into specific regions of interest and avoids redundancy in computation. Instead of detecting abnormalities for the whole fundus image, the proposed method emphasizes on the segmented regions for the abnormalities, thereby reducing the computation time significantly. Furthermore, this approach provides a simple and direct method to measure the severity of the disease. This region based segmentation also has the advantage of a mesh lesser computational load making this process suitable for real time applications. The accuracy of this region based segmentation method is more than 80% when tested in a database.

Keywords

Diabetic Retinopathy, Optic Disk, Macula, Exudates, Micro-aneurysms, Fundus image processing

RIV year

2014

Released

09.07.2015

Location

Berlin, Germany

ISBN

978-80-214-4983-1

Book

2014 37th International Conference on Telecommunications and Signal Processing (TSP)

Pages from

743

Pages to

747

Pages count

5

URL

BibTex


@inproceedings{BUT109430,
  author="Malay Kishore {Dutta} and Shaumik {Ganguly} and Kshitij {Srivastava} and Shaunak {Ganguly} and M. {Parthasarathi} and Radim {Burget} and Jan {Mašek}",
  title="An Efficient Grading Algorithm for Non-Proliferative Diabetic Retinopathy using Region Based Detection",
  annote="The paper proposes an image processing algorithm to grade the severity of Non Proliferative Diabetic Retinopathy. For this disease the most important parameter to classify the stage of the disease is the proximity of abnormalities from the centre of Macula. The proposed algorithm provides an efficient grading technique by segmenting the fundus image into specific regions of interest and avoids redundancy in computation. Instead of detecting abnormalities for the whole fundus image, the proposed method emphasizes on the segmented regions for the abnormalities, thereby reducing the computation time significantly. Furthermore, this approach provides a simple and direct method to measure the severity of the disease. This region based segmentation also has the advantage of a mesh lesser computational load making this process suitable for real time applications. The accuracy of this region based segmentation method is more than 80% when tested in a database.",
  booktitle="2014 37th International Conference on Telecommunications and Signal Processing (TSP)",
  chapter="109430",
  doi="10.1109/TSP.2015.7296363",
  howpublished="online",
  year="2015",
  month="july",
  pages="743--747",
  type="conference paper"
}