Abstract
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 web-based 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.
Highlights
Diabetic retinopathy (DR) is a type of eye disease due to a diabetic condition that damages the retina, leading to blindness or vision loss
This study aims to develop a web-based decision support system to screen and diagnose DR in eye fundus images
Specialists are able to use any suitable tools of annotation listed in Table III by labelling or drawings on the fundus images that later can be viewed by the primary health cares
Summary
Diabetic retinopathy (DR) is a type of eye disease due to a diabetic condition that damages the retina, leading to blindness or vision loss. This study aims to develop a web-based decision support system to screen and diagnose DR in eye fundus images. This research aims to determine the usability and needs demand by the target users of the developed system. The detection of DR is challenging due to the complex characteristics of the DR features as illustrated in Fig. 1 which emphasizes the need for highly qualified and experienced retinal screeners to ensure accurate detection and diagnosis of DR. This system involves image processing and image editing features to enhance the visibility of fundus images captured by primary health cares. An enhancement web-based system based on online consultation to overcome the weaknesses of the current method such as many-to-many communication, image upload, image editing and image processing
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