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.

Bibliografische gegevens
Hoofdauteurs:	Choudhury, Prionto Kumar, Anika, Asma Akter, Ramisa, Sumaiya Rahman, Zaman, Arsi, Chowdhury, Rizvee Rifat
Andere auteurs:	Alam, Md.Golam Rabiul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2024
Onderwerpen:	Ocular Toxoplasmosis Convolutional neural network MobileNet VGG16 ResNet50 Deep learning VGG19 Neural networks (Computer science) Eye > Diseases Diagnostic imaging Deep learning (Machine learning)
Online toegang:	http://hdl.handle.net/10361/22916

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