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.

Dades bibliogràfiques
Autors principals:	Islam, Mehafuza, Al Mamun, S.M. Abdulla
Altres autors:	Alam, Dr. Md. Ashraful
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2023
Matèries:	Malaria parasites Vision transformer Deep learning Grad-CAM Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Accés en línia:	http://hdl.handle.net/10361/20000

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