Kusum Yadav1, Yasser Alharbi1, Eissa Jaber Alreshidi1, Abdulrahman Alreshidi1, Anuj Kumar Jain2, Anurag Jain3, Kamal Kumar4, Sachin Sharma5, Brij B. Gupta6,7,8,*
CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2665-2683, 2024, DOI:10.32604/cmc.2024.053565
- 18 November 2024
Abstract In today’s world, image processing techniques play a crucial role in the prognosis and diagnosis of various diseases due to the development of several precise and accurate methods for medical images. Automated analysis of medical images is essential for doctors, as manual investigation often leads to inter-observer variability. This research aims to enhance healthcare by enabling the early detection of diabetic retinopathy through an efficient image processing framework. The proposed hybridized method combines Modified Inertia Weight Particle Swarm Optimization (MIWPSO) and Fuzzy C-Means clustering (FCM) algorithms. Traditional FCM does not incorporate spatial neighborhood features, making More >
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