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.

Bibliographic Details
Main Authors:	Islam, Mehafuza, Al Mamun, S.M. Abdulla
Other Authors:	Alam, Dr. Md. Ashraful
Format:	Thesis
Language:	English
Published:	Brac University 2023
Subjects:	Malaria parasites Vision transformer Deep learning Grad-CAM Cognitive learning theory (Deep learning) Artificial intelligence Machine learning
Online Access:	http://hdl.handle.net/10361/20000

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