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.

Detalhes bibliográficos
Main Authors: Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Outros Autores: Rahman, Md. Khalilur
Formato: Thesis
Idioma:English
Publicado em: Brac University 2023
Assuntos:
Retinal diagnosis
Fundus images
CNN
Deep learning
ML
Machine learning
Cognitive learning theory
Acesso em linha:http://hdl.handle.net/10361/18039

Internet

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

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