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.

Bibliografische gegevens
Hoofdauteurs:	Islam, Mehafuza, Al Mamun, S.M. Abdulla
Andere auteurs:	Alam, Dr. Md. Ashraful
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2023
Onderwerpen:	Malaria parasites Vision transformer Deep learning Grad-CAM Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Online toegang:	http://hdl.handle.net/10361/20000

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