EYE DISEASE DETECTION BY IMAGE CLASSIFICATION

Авторы

  • Husanboy Olimboyev Qahramon o‘g‘li Urgench State University, Department of Computer Sciences Автор

DOI:

https://doi.org/10.1808/c7j70b43

Ключевые слова:

Normal, Diabetes, Glaucoma, Cataract, Age-related Macular Degeneration, Hypertension, Pathological Myopia, Kaggle.

Аннотация

This article explores the application of machine learning in ocular healthcare through the classification of eye images. We delve into the process of utilizing Python and various libraries to implement machine learning algorithms for image classification, focusing on distinguishing between eight key classes of eye images: Normal, Diabetes, Glaucoma, Cataract, Age-related Macular Degeneration, Hypertension, Pathological Myopia, and Other diseases. The article highlights the significance of this approach in aiding healthcare professionals in early diagnosis and treatment planning.

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Опубликован

2024-05-01

Как цитировать

Husanboy Olimboyev Qahramon o‘g‘li. (2024). EYE DISEASE DETECTION BY IMAGE CLASSIFICATION. INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY, 1(15), 61-70. https://doi.org/10.1808/c7j70b43