Diagnosis of retinal damage using Resnet rescaling and support vector machine (Resnet-RS-SVM): a case study from an Indian hospital.

Journal: International ophthalmology
Published Date: Apr 13, 2024

Abstract

PURPOSE: This study aims to address the challenge of identifying retinal damage in medical applications through a computer-aided diagnosis (CAD) approach. Data was collected from four prominent eye hospitals in India for analysis and model development.

Authors

  • Santi Kumari Behera
    Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India.
  • Rina Mahakud
    Department of Computer Science and Engineering, ITER, SOA University, Bhubaneswar, Odisha, India.
  • Millee Panigrahi
    Department of Electronics and Telecommunication Engineering, Trident Academy of Technology, Bhubaneswar, Odisha, India.
  • Prabira Kumar Sethy
    Department of Electronics, Sambalpur University, Sambalpur, Odisha, India. prabirasethy.05@gmail.com.
  • Rasmikanta Pati
    Department of Basic Science and Humanities, Sambalpur University Institute of Information Technology, Burla, Odisha, India.

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