Identification of Human Disease (Diabetic Retinopathy) using Convolutional Neural Network
| Main Authors: | Akanksha Hon, Riya Shelke, Sharvari Hatekar, Mayuri Shelke, M. B. Gawali |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3813329 |
Daftar Isi:
- As the world is changing in a rapid way, the technology has taken places in human’s day to day life. Humans are also willing to include artificial machines (technology) which can work efficiently with less failure. But it is a challenge for human to build an artificial humanoid as same as human. Identification and classification are the basic steps by which machine can work same as human works. The identification and classification of input images propose a big challenge to make machine more accurate. To classify the input with higher rate of an accuracy is the challenge for the researchers, scientists. To overcome this issue, we have proposed a modified Convolutional Neural Network (CNN) method to recognize images correctly to reduce failure.