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.

Dettagli Bibliografici
Autori principali:	Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Altri autori:	Rahman, Md. Khalilur
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Retinal diagnosis Fundus images CNN Deep learning ML Machine learning Cognitive learning theory
Accesso online:	http://hdl.handle.net/10361/18039

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