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.

Bibliografiset tiedot
Päätekijät: Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Muut tekijät: Rahman, Md. Khalilur
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2023
Aiheet:
Retinal diagnosis
Fundus images
CNN
Deep learning
ML
Machine learning
Cognitive learning theory
Linkit:http://hdl.handle.net/10361/18039

Internet

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

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