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.

Bibliographic Details
Main Authors: Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Other Authors: Rahman, Md. Khalilur
Format: Thesis
Language:English
Published: Brac University 2023
Subjects:
Retinal diagnosis
Fundus images
CNN
Deep learning
ML
Machine learning
Cognitive learning theory
Online Access:http://hdl.handle.net/10361/18039

Internet

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

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