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.

Bibliographische Detailangaben
Hauptverfasser:	Choudhury, Prionto Kumar, Anika, Asma Akter, Ramisa, Sumaiya Rahman, Zaman, Arsi, Chowdhury, Rizvee Rifat
Weitere Verfasser:	Alam, Md.Golam Rabiul
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	Ocular Toxoplasmosis Convolutional neural network MobileNet VGG16 ResNet50 Deep learning VGG19 Neural networks (Computer science) Eye > Diseases Diagnostic imaging Deep learning (Machine learning)
Online Zugang:	http://hdl.handle.net/10361/22916

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

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