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.

Detalhes bibliográficos
Main Authors:	Islam, Mehafuza, Al Mamun, S.M. Abdulla
Outros Autores:	Alam, Dr. Md. Ashraful
Formato:	Thesis
Idioma:	English
Publicado em:	Brac University 2023
Assuntos:	Malaria parasites Vision transformer Deep learning Grad-CAM Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Acesso em linha:	http://hdl.handle.net/10361/20000

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