Novel Approach for Automatic Grading of Hyperemia in Four Different Classes as per IER using VGG16
Main Article Content
Abstract
Hyperemia is a condition associated with conjunctiva of the eye. The work in this paper focuses on evaluating the redness of bulbar conjunctiva of human eye. The condition can be a result of numerous factors like injury to eye, friction due to dust particles, improper or prolonged use of contact lenses and it can also be an indication of serious condition like glaucoma. It is evident that if this condition is not given timely treatment then it can result into irreversible eye damage. Several methods have been proposed in past to grade hyperemia but due to human intervention involved the results were subjective in nature. This work proposes the use of pre trained convolutional neural network like VGG16 (named after Visual Geometry Group) to analyze and evaluate the degree of redness. The different classes of redness are in accordance with the Institute for Eye Research (IER) earlier referred as Cornea and Contact Lens Research Unit (CCLRU) grading scale which is universally accepted. The level of redness can further aid in specific line of treatment depending upon the ocular disease related if any. A hybrid model is proposed to automatize the entire process to achieve the desired objective.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
