RetinalNet-500: a newly developed CNN model for eye disease detection

RetinalNet-500: a newly developed CNN model for eye disease detection

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografski detalji
Glavni autori: Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Daljnji autori: Rahman, Md. Khalilur
Format: Disertacija
Jezik:English
Izdano: Brac University 2023
Teme:
Retinal diagnosis
Fundus images
CNN
Deep learning
ML
Machine learning
Cognitive learning theory
Online pristup:http://hdl.handle.net/10361/18039

Internet

http://hdl.handle.net/10361/18039

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