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.

Xehetasun bibliografikoak
Egile Nagusiak: Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Beste egile batzuk: Rahman, Md. Khalilur
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2023
Gaiak:
Retinal diagnosis
Fundus images
CNN
Deep learning
ML
Machine learning
Cognitive learning theory
Sarrera elektronikoa:http://hdl.handle.net/10361/18039

Internet

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

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