Published February 29, 2020
| Version v1
Journal article
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Transfer Learning Based MA Detection (TL-MAD)
Creators
- 1. Ph. D., Research Scholar ,Department of Computer Science and Application, Gandhigram Rural Institute(Deemed to be University), Gandhigram, India
- 2. Assistant Professor, Department of Computer Science and Application, Gandhigram Rural Institute (Deemed to be University), Gandhigram, India
Contributors
- 1. Publisher
Description
Diabetic Retinopathy (DR) is a microvascular complication of Diabetes that can lead to blindness if it is severe. Micro aneurysm (MA) is the initial and main symptom of DR. In this paper, an automatic detection of DR from retinal fundus images of publicly available dataset has been proposed using transfer learning with pre-trained model VGG16 based on Convolutional Neural Network (CNN). Our method achieves improvement in accuracy for MA detection using retinal fundus images in prediction of Diabetic Retinopathy.
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- Is cited by
- Journal article: 2249-8958 (ISSN)
Subjects
- ISSN
- 2249-8958
- Retrieval Number
- C5449029320/2020©BEIESP