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.

Podrobná bibliografie
Hlavní autoři:	Islam, Mehafuza, Al Mamun, S.M. Abdulla
Další autoři:	Alam, Dr. Md. Ashraful
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2023
Témata:	Malaria parasites Vision transformer Deep learning Grad-CAM Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
On-line přístup:	http://hdl.handle.net/10361/20000

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