Abstract. Fuzzy image processing was proven to help improve the image quality for both medical and non-medical images. This paper presents a fuzzy techniques-based eye screening system for the detection of one of the most important visible signs of diabetic retinopathy; microaneurysms, small red spot on the retina with sharp margins. The proposed ophthalmic decision support system consists of an automatic acquisition, screening and classification of eye fundus images, which can assist in the diagnosis of the diabetic retinopathy. The developed system contains four main parts, namely the image acquisition, the image preprocessing with fuzzy techniques, the microaneurysms localisation and detection, and finally the image classification. The fuzzy image processing approach provides better results in the detection of microaneurysms.

This study aims to develop a novel web-based decision support system for diabetic retinopathy screening and classification of eye fundus images for medical officers. The research delivers diabetic retinopathy information with a webbased environment according to the needs of the users. The proposed research also intends to evaluate the developed system usability to the target users. The complex characteristics of diabetic retinopathy signs contribute to the difficulty in detecting diabetic retinopathy. Therefore, professional and skilled retinal screeners are required to produce accurate diabetic retinopathy detection and diagnosis. The proposed system assists the communication and consultation among the medical experts in the hospital and the primary health cares located at the health clinics. The agile software development model is the methodology used for the development of this research project. The project collaborates with the Department of Ophthalmology, Hospital Melaka, Malaysia for the medical content expertise and testing. Representative medical officers from Hospital Melaka and all the public health clinics in Melaka were involved in the preliminary study and system testing. This research study consists of a web development producing an interactive web-based application of diabetic retinopathy consultation which comprises image processing and editing features as a core of the system. It is envisaged that this research project will contribute to the management of diabetic retinopathy screening among medical officers.

Ocular manifestations are common associations of ectrodactyly-Ectodermal dysplasia-cleft palate (EEC) syndrome. We would like to report a case of a 48-year-old patient with EEC syndrome who manifested ocular and extraocular signs and symptoms. The ophthalmic findings in this patient included chronic blepharitis and absence of meibomian gland. There was also a presence of hazy cornea with vascularized corneal stroma and symblepharon involving the lower lid. Systemic conditions showed generalized dry and scaly skin with hand-foot split deformity. Therefore, ophthalmologists should be alert to spot and diagnose this condition as prompt treatment should be commenced considering this can be sight-threatening.

This article presents an investigation on the usability testing of Diabetic Retinopathy Consultation System (DRCS) development. DRCS is an interactive medical web-based consultation system for diabetic retinopathy screening with the features of image processing and image editing. The expected outcome of this paper is a comprehensive analysis of the web usability towards the development of a novel consultation system for diabetic retinopathy screening. Seven important usability evaluation components were included in this testing in order to investigate the user engagement and satisfaction of the proposed medical consultation system. Online questionnaires were distributed as a method to collect user testing outputs. A total of 27 respondents from the health clinics were involved in this survey. According to the outcomes of the online survey, the majority of respondents are satisfied with the outcomes of the DRCS. In conclusion, the online findings depict that the DRCS is highly functional, as required by the target users to assist consultation among medical doctors on diabetic retinopathy screening. This system is expected to contribute to diabetic retinopathy screening management and produce a great usability to the users.

Ectopia lentis or crystalline lens subluxation is one of the major criteria to diagnose Marfan syndrome. It may vary from mild lens subluxation to lens dislocation. Herewith is a case report of a 4-year-old autistic boy who had never been diagnosed with Marfan syndrome. He presented to the clinic after his parents noticed he had difficulty focusing on near objects. His bilateral best-corrected visual acuity was 6/60. On examination, there was bilateral lens subluxation superotemporally and lens equator blocking his visual axis. He was sent to the paediatric team and further Marfan workout showed dilated aortic root. He was then diagnosed with Marfan syndrome. He underwent bilateral lens aspiration, anterior vitrectomy, and iris-claw lens implantation. His postoperative bilateral visual acuity on day 1 was 6/30 and his best-corrected visual acuity 3 months after surgery was 6/9 for both eyes. In conclusion, ophthalmologists play an important role in diagnosing and managing Marfan syndrome. Early diagnosis is important to help preserve vision and improve quality of life.