Detail publikačního výsledku

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.

Originální název

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

Anglický název

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

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

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

Rok RIV

2017

Vydáno

09.07.2015

Místo

Berlin, Germany

ISBN

978-80-214-4983-1

Kniha

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

Strany od

743

Strany do

747

Strany počet

5

URL

https://ieeexplore.ieee.org/document/7296363

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",
  booktitle="2014 37th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2015",
  pages="743--747",
  address="Berlin, Germany",
  doi="10.1109/TSP.2015.7296363",
  isbn="978-80-214-4983-1",
  url="https://ieeexplore.ieee.org/document/7296363"
}