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.

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

Internet

http://hdl.handle.net/10361/22916

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