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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Toki, Sadikul Alim, Rahman, Sohanoor, Fahim, SM Mohtasim Billah, Mostakim, Abdullah Al
Άλλοι συγγραφείς:	Rahman, Md. Khalilur
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	Retinal diagnosis Fundus images CNN Deep learning ML Machine learning Cognitive learning theory
Διαθέσιμο Online:	http://hdl.handle.net/10361/18039

Παρόμοια τεκμήρια

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