Abstract:
:Hypertensive Retinopathy (HR) caused by hypertension is a retinal disease which may leads to vision loss and blindness. Computer aided diagnostic systems for various diseases are being used in clinics but there is a need to develop an automated system that detects and grades HR disease. In this paper, an automated system is presented that detects and grades HR disease using Arteriovenous Ratio (AVR).The presented system includes three modules i.e. main component extraction, artery/vein (A/V) classification and finally AVR calculation and grading of HR. Proposed system uses vascular map and a set of hybrid features for A/V classification. The evaluation of proposed system is carried out using three datasets. The proposed system shows average accuracies of 95.14% for images of INSPIRE-AVR database, 96.82% for images of VICAVR database and 98.76% for local dataset AVRDB. These results support that the proposed system is trustworthy for clinical use in detection and grading of HR disease. Main contribution of proposed system is that it utilizes complete blood vessel map for A/V classification. These arteries and veins are then used to calculate AVR and grade HR cases based on AVR values. Another contribution of this article is that it presents a new dataset AVRDB for A/V classification and HR detection.
journal_name
Artif Intell Medjournal_title
Artificial intelligence in medicineauthors
Akbar S,Akram MU,Sharif M,Tariq A,Khan SAdoi
10.1016/j.artmed.2018.06.004subject
Has Abstractpub_date
2018-08-01 00:00:00pages
15-24eissn
0933-3657issn
1873-2860pii
S0933-3657(17)30427-Xjournal_volume
90pub_type
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journal_title:Artificial intelligence in medicine
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journal_title:Artificial intelligence in medicine
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journal_title:Artificial intelligence in medicine
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