CLASSIFICATION OF EYE DISEASES WITH MOBILENETV3 AND EFFICIENTNETB0 MODELS

Otabek Xo'jayev; Husanboy Abdullayev

Авторы

Otabek Xo'jayev Urgench Branch of Tashkent university of Information Technologies named after Muhammad al-Khwarizmi
Husanboy Abdullayev Urgench Branch of Tashkent university of Information Technologies named after Muhammad al-Khwarizmi

Ключевые слова:

Diabetic Retinopathy, Cataracts, Glaucoma, CNN, HMMD, HMC, IDRiD, Oculur Recognition, HRF, MobileNetV3, EfficientNetB3, Kaggle

Аннотация

Diabetes increases the risk of eye complications such as diabetic retinopathy, cataracts, and glaucoma. It's the leading cause of blindness in working-age adults. Regular eye examinations and proper care can prevent most cases of blindness. Cataracts and glaucoma are also more common in people with diabetes. Glaucoma can result from increased pressure inside the eye and has two main types: open-angle and angle-closure. This thesis proposed the use of MobileNetV3 and EfficientNetB3 models for classifying eye diseases. The MobileNetV3 model achieved an accuracy of 73%, while the EfficientNetB3 model achieved an accuracy of 94%. The results demonstrate the potential of these models for accurately identifying eye diseases, which can have significant implications for early detection and treatment.

Библиографические ссылки

Abdullayev Husanboy, “Classification of Eye Diseases caused by Diabetes with Transfer Learning Techniques”, Academic Research of Educational Sciences Volume 4 Issue 3, Chirchiq, 2023, pp. 257-263.

Hanaa Mohsin Ahmad, Shrooq Rasheed Hameed, “Eye Diseases Classification Using Hierarchical Multi-Label Artificial Neural Network”, 1st.International Conference of Information Technology to enhance E-learning and other Application, (IT-ELA 2020), Baghdad, 2020, pp. 93-98.

Gauri Ramanathan, Diya Chakrabarti, Aarti Patil, Sakshi Rishipathak, Dr. Shubhangi Kharche, “Eye Disease Detection Using Machine Learning”, 2021 2nd Global Conference for Advancement in Technology (GCAT) Bangalore, India. Oct 1-3, Bangalore, 2021, pp. 1-5.

Sagar Suresh Karki, Pradnya Kulkarni, “Diabetic Retinopathy Classification using a Combination of EfficientNets”, 2021 International Conference on Emerging Smart Computing and Informatics (ESCI) AISSMS Institute of Information Technology, Pune, India. Mar 5-7, Pune, 2021, pp. 68-72.

Guna Venkat Doddi, “Open Data Commons Open Database License (ODbL) v1.0”, https://www.kaggle.com/datasets/gunavenkatdoddi/eye-diseases-classification, London, 2022.