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.

Détails bibliographiques
Auteurs principaux:	Islam, Mehafuza, Al Mamun, S.M. Abdulla
Autres auteurs:	Alam, Dr. Md. Ashraful
Format:	Thèse
Langue:	English
Publié:	Brac University 2023
Sujets:	Malaria parasites Vision transformer Deep learning Grad-CAM Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Accès en ligne:	http://hdl.handle.net/10361/20000

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