An interpretable transformer based approach to classify Malaria from blood cell images

An interpretable transformer based approach to classify Malaria from blood cell images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Detalles Bibliográficos
Autores principales:	Islam, Mehafuza, Al Mamun, S.M. Abdulla
Otros Autores:	Alam, Dr. Md. Ashraful
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2023
Materias:	Malaria parasites Vision transformer Deep learning Grad-CAM Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Acceso en línea:	http://hdl.handle.net/10361/20000

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