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.

Opis bibliograficzny
Główni autorzy: Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Kolejni autorzy: Rahman, Md. Khalilur
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2023
Hasła przedmiotowe:
Retinal diagnosis
Fundus images
CNN
Deep learning
ML
Machine learning
Cognitive learning theory
Dostęp online:http://hdl.handle.net/10361/18039

Internet

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

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