Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Bibliografiske detaljer
Main Authors:	Choudhury, Prionto Kumar, Anika, Asma Akter, Ramisa, Sumaiya Rahman, Zaman, Arsi, Chowdhury, Rizvee Rifat
Andre forfattere:	Alam, Md.Golam Rabiul
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Ocular Toxoplasmosis Convolutional neural network MobileNet VGG16 ResNet50 Deep learning VGG19 Neural networks (Computer science) Eye > Diseases Diagnostic imaging Deep learning (Machine learning)
Online adgang:	http://hdl.handle.net/10361/22916

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