UNAIR NEWS – Science and technology are growing rapidly.聽The development has penetrated various aspects, including in the field of health.聽Application of technology can help medical personnel to diagnose a disease and abnormalities in human organs.
Diabetes Mellitus聽(DM) as a metabolic disease is also growing.聽DM has the potential to cause complications and the emergence of advanced disease.聽Diabetic retinopathy聽 is one of the complications of DM that attacks the retina of the eye and is one of the leading causes of blindness.
Examination of diabetic retinopathy is currently done by聽fundus photography聽technique聽using a tool called fundus cameras.聽The image generated from this technique is studied by the聽ophthalmologist聽manually.聽The current fundus camera device is not currently equipped with software, specifically which can detect diabetic retinopathy automatically.
It takes an effective and efficient method to help the聽ophthalmologist聽in diagnosing diabetic retinopathy.聽Systems of diagnosis of a disease based on medical image processing with the help of computers are being currently developed.聽The latest image processing techniques based on feature extraction analysis can ot only diagnose but also detect the severity of diabetic retinopathy聽(Walvekar and Salunke聽, 2015).
Departing from that important requirement, Technology Student Creativity Program (PKM-T) team consisting of Bestia Kumala (leader), Debrina Rizka, Nurrahmah Wida, Nalindra Berliani and Nitasya Ayu Alamanda Putri, created an automatic diabetic retinopathy detection system named Sadar Diri (听Smart Automated Detection Software for Diabetic Retinopathy听).
This detection system is based on artificial neural network that is considered effective in recognizing complex and specific patterns in classifying data through the learning process.聽After passing a rigorous selection by Directorate General of Higher Education, PKMT innovation proposal entitled “Sadar Diri (听Smart Automated Detection Software For Diabetic Retinopathy聽) Based on Artificial Neural Network at UPT East Java Eye Hospital” was entitled to research grant from Ministry of Technology Research and Higher Education (Kemenristekdikti) in PKM program 2017-2018.
The Mechanism
“The working mechanism of this device is very simple, so it can save time, ie retinal images captured by fundus camera will be connected to the聽Personal Computer聽(PC) pre-installed with the program,” said Bestia Kumala.
The software will perform some image processing and classify it as normal image or diabetic retinopathy image.聽In addition, this program can also classify the severity of聽Nonproliferative Diabetic Retinopathy聽(NPDR) and聽Proliferative Diabetic Retinopathy聽(PDR).
The software has聽a聽user friendly聽interface聽design聽that is easy to operate.聽This software technology can be used as聽a聽quick聽screening聽and early detection because the diagnostic results can be directly seen on the PC / computer screen.
Bestia also said that blindness due to diabetic retinopathy will reduce the quality of life and productivity of patients, which eventually cause social burden society.
“With the application of this innovation, we hope it could be used as a聽second opinion in the diagnosis of diabetic retinopathy disease, thus improving the quality of health services.聽And good health services will improve the quality of life of Indonesian people, “said Bestia Kumala.聽(*)
Editor: Bambang Bes
