The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Classification of Diabetic Retinopathy Using Regularized Pre-Trained Models
|
|
Author(s): Kalpana Devi (Gandhigram Rural Institute, India)
Copyright: 2025
Pages: 26
Source title:
Exploring the Micro World of Robotics Through Insect Robots
Source Author(s)/Editor(s): U. Vignesh (Vellore Institute of Technology, Chennai, India), Annavarapu Chandra Sekhara Rao (Indian Institute of Technology (ISM), Dhanbad, India), Saleem Raja (University of Technology and Applied Sciences, Shinas, Oman)and P. Chitra (GITAM University, Bangalore, India)
DOI: 10.4018/979-8-3693-6150-4.ch007
Purchase
|
Abstract
Diabetic Retinopathy is a serious sight-threatening complication of diabetes. Deep learning is a superior method for classifying medical images with high accuracy. Typically, we have classified diseases well using transfer learning on pre-trained models from other domains. It utilizes the parameters of a model that has been pre-trained for DR datasets rather than creating new CNN architectures for diverse classification tasks in different domains. The main objective of this chapter is to categorize the Diabetic Retinopathy disease based on its severity using pre-trained models namely ResNet50, VGG16, Alex Net, InceptionV3, Mobile Net and Squeeze Net, DenseNet-121, and XceptionNet and to proposed regularize Xception net experiment with various dropout values.
Related Content
|
S. Karthigai Selvi, Sharmistha Dey, Siva Shankar Ramasamy, Krishan Veer Singh.
© 2025.
16 pages.
|
|
S. Sheeba Rani, M. Mohammed Yassen, Srivignesh Sadhasivam, Sharath Kumar Jaganathan.
© 2025.
22 pages.
|
|
U. Vignesh, K. Gokul Ram, Abdulkareem Sh. Mahdi Al-Obaidi.
© 2025.
22 pages.
|
|
Monica Bhutani, Monica Gupta, Ayushi Jain, Nishant Rajoriya, Gitika Singh.
© 2025.
24 pages.
|
|
U. Vignesh, Arpan Singh Parihar.
© 2025.
34 pages.
|
|
Sharmistha Dey, Krishan Veer Singh.
© 2025.
20 pages.
|
|
Kalpana Devi.
© 2025.
26 pages.
|
|
|