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.

Detalles Bibliográficos
Autores principales: Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Otros Autores: Rahman, Md. Khalilur
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
Retinal diagnosis
Fundus images
CNN
Deep learning
ML
Machine learning
Cognitive learning theory
Acceso en línea:http://hdl.handle.net/10361/18039

Internet

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

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