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Authors: Amit Agarwal 1 ; Jayanthi Sivaswamy 1 ; Alka Rani 2 and Taraprasad Das 3

Affiliations: 1 CVIT, International Institute of Information Technology, India ; 2 Aravind Eye Institute, India ; 3 LV Prasad Eye Institute, India

ISBN: 978-989-8111-18-0

Keyword(s): Capillary Non-Perfusion, Retina, Extrema Pyramid, Disease detection.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: Capillary Non-Perfusion (CNP) is a condition in diabetic retinopathy where blood ceases to flow to certain parts of the retina, potentially leading to blindness. This paper presents a solution for automatically detecting and segmenting CNP regions from fundus fluorescein angiograms (FFAs). CNPs are modelled as valleys, and a novel multiresolution technique for trough-based valley detection is presented. The proposed algorithm has been tested on 40 images and validated against expert-marked ground truth. Obtained results are presented as a receiver operating characteristic (ROC) curve. The area under this curve is 0.842 and the distance of ROC from the ideal point (0, 1) is 0.31.

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Paper citation in several formats:
Agarwal A.; Sivaswamy J.; Rani A.; Das T. and (2008). AUTOMATIC SEGMENTATION OF CAPILLARY NON-PERFUSION IN RETINAL ANGIOGRAMS.In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 170-177. DOI: 10.5220/0001058201700177

@conference{biosignals08,
author={Amit Agarwal and Jayanthi Sivaswamy and Alka Rani and Taraprasad Das},
title={AUTOMATIC SEGMENTATION OF CAPILLARY NON-PERFUSION IN RETINAL ANGIOGRAMS},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={170-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001058201700177},
isbn={978-989-8111-18-0},
}

TY - CONF

JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - AUTOMATIC SEGMENTATION OF CAPILLARY NON-PERFUSION IN RETINAL ANGIOGRAMS
SN - 978-989-8111-18-0
AU - Agarwal, A.
AU - Sivaswamy, J.
AU - Rani, A.
AU - Das, T.
PY - 2008
SP - 170
EP - 177
DO - 10.5220/0001058201700177

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