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.

Dettagli Bibliografici
Autori principali:	Islam, Mehafuza, Al Mamun, S.M. Abdulla
Altri autori:	Alam, Dr. Md. Ashraful
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Malaria parasites Vision transformer Deep learning Grad-CAM Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Accesso online:	http://hdl.handle.net/10361/20000

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