A mobile computer aided system for optic nerve head detection

作者：Elloumi Yaroub; Akil Mohamed; Kehtarnavaz Nasser

来源：Computer Methods and Programs in Biomedicine, 2018, 162: 139-148.

DOI：10.1016/j.cmpb.2018.05.004

• Optic nerve head detection
• Smartphone-based CAD in ophthalmology
• Fundus image processing
• Radon Transform

Background and objective: The detection of optic nerve head (ONH) in retinal fundus images plays a key role in identifying Diabetic Retinopathy (DR) as well as other abnormal conditions in eye examinations. This paper presents a method and its associated software towards the development of an Android smartphone app based on a previously developed ONH detection algorithm. The development of this app and the use of the ID-Eye lens which can be snapped onto a smartphone provide a mobile and cost-effective computer-aided diagnosis (CAD) system in ophthalmology. In particular, this CAD system would allow eye examination to be conducted in remote locations with limited access to clinical facilities.
Methods: A pre-processing step is first carried out to enable the ONH detection on the smartphone platform. Then, the optimization steps taken to run the algorithm in a computationally and memory efficient manner on the smartphone platform is discussed.
Results: The smartphone code of the ONH detection algorithm was applied to the STARE and DRIVE databases resulting in about 96% and 100% detection rates, respectively, with an average execution time of about 2 s and 1.3 s. In addition, two other databases captured by the D-Eye and iExaminer snap-on lenses for smartphones were considered resulting in about 93% and 91% detection rates, respectively, with an average execution time of about 2.7 s and 2.2 s, respectively.

• 出版日期2018-8
• 单位ESIEE, Paris; ESIEE Paris