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.

Podrobná bibliografie
Hlavní autoři:	Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Další autoři:	Rahman, Md. Khalilur
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2023
Témata:	Retinal diagnosis Fundus images CNN Deep learning ML Machine learning Cognitive learning theory
On-line přístup:	http://hdl.handle.net/10361/18039

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