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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Choudhury, Prionto Kumar, Anika, Asma Akter, Ramisa, Sumaiya Rahman, Zaman, Arsi, Chowdhury, Rizvee Rifat
Άλλοι συγγραφείς: Alam, Md.Golam Rabiul
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2024
Θέματα:
Ocular Toxoplasmosis
Convolutional neural network
MobileNet
VGG16
ResNet50
Deep learning
VGG19
Neural networks (Computer science)
Eye > Diseases
Diagnostic imaging
Deep learning (Machine learning)
Διαθέσιμο Online:http://hdl.handle.net/10361/22916

Διαδίκτυο

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

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