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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | ARTIFICIAL INTELLIGENCE BASED GLAUCOMA DETECTION USING MACHINE LEARNING APPROACH |
| Authors Name: | Priyanka .C , Pooja. S |
| Unique Id: | IJSDR2302159 |
| Published In: | Volume 8 Issue 2, February-2023 |
| Abstract: | One of the ophthalmological conditions that commonly results in visual loss in today's culture is glaucoma. There is currently no test that has adequate sensitivity and specificity to diagnose glaucoma on its own. However, previous research have evaluated whether anatomical characteristics of the optic nerve can be predictive of glaucomatous damage. This study offers a public dataset containing health information and fundus photos of the same patient's both eyes. Additionally supplied are segmentations of the cup and optic disc as well as patient labelling based on the analysis of clinical data. A neural network was tested on the dataset to distinguish between healthy people and people with glaucoma. In particular, the ResNet-50 has been utilised as the foundation to categorise patients using data from each eye separately as well as utilising the combined data from each patient's two eyes. In order to advance research on the early diagnosis of glaucoma based on the combined examination of both eyes of the same patient, the results give the baseline measurements. |
| Keywords: | deep learning, leaf disease detection, plant leaf disease detection, ladies finger, ladies finger leaf disease detection, CNN, convolutional neural network, neural network |
| Cite Article: | "ARTIFICIAL INTELLIGENCE BASED GLAUCOMA DETECTION USING MACHINE LEARNING APPROACH", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 2, page no.921 - 928, February-2023, Available :http://www.ijsdr.org/papers/IJSDR2302159.pdf |
| Downloads: | 000337075 |
| Publication Details: | Published Paper ID: IJSDR2302159 Registration ID:204139 Published In: Volume 8 Issue 2, February-2023 DOI (Digital Object Identifier): Page No: 921 - 928 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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