Need of use of Machine Learning Techniques for Recognition and Classification of Ocular Diseases
Volume 16 Issue 2 2022
Download| Author(s): | Hira Zahid, Syed Waqad Ali, Shahzad Nasim, Jawwad Ali Bhatti, Sidra Abid Syed*, Sarmad Shams |
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| Abstract | Although ophthalmic problems are often not life-threatening, their progression over time may have a significant impact on the patient's quality of life. The purpose of this opinion paper is to assess the need of use of machine learning techniques for classification and recognition of ocular diseases. This paper uses the meta-analyses techniques to present opinion about the research topic.The paper reviews different publications in 2018. In 2018, 44 publications focus on diabetic retinopathy, 30 publications focus on glaucoma, while 25 publications focus on macular degeneration. On the other hand, in 2019, this ratio is the same, but there were 4 publications on cataract and 6 publications on retinopathy of prematurity. Methodology includes data collection, pre-processing, segmentation, and testing with various data ratios for detection and classification. Applications for AI, ML, and DL are undoubtedly evolving quickly. These technologies promise to be a particularly important advance in the field of health care applications, even though they have not yet been sufficiently developed to be used in a clinical context. If health care organizations and ophthalmologists use these innovations widely, the medical profession and ophthalmic community will gain a lot. |
| Keywords | Ocular, ML, AI, DL, imaging, ophthalmologist |
| Year | 2022 |
| Volume | 16 |
| Issue | 2 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/16.2/1.pdf | Page | 37-41 |