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.

Dades bibliogràfiques
Autors principals:	Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Altres autors:	Rahman, Md. Khalilur
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2023
Matèries:	Retinal diagnosis Fundus images CNN Deep learning ML Machine learning Cognitive learning theory
Accés en línia:	http://hdl.handle.net/10361/18039

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