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.

Détails bibliographiques
Auteurs principaux: Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Autres auteurs: Rahman, Md. Khalilur
Format: Thèse
Langue:English
Publié: Brac University 2023
Sujets:
Retinal diagnosis
Fundus images
CNN
Deep learning
ML
Machine learning
Cognitive learning theory
Accès en ligne:http://hdl.handle.net/10361/18039

Internet

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

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