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.

Библиографические подробности
Главные авторы:	Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Другие авторы:	Rahman, Md. Khalilur
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	Retinal diagnosis Fundus images CNN Deep learning ML Machine learning Cognitive learning theory
Online-ссылка:	http://hdl.handle.net/10361/18039

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