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.

Bibliografische gegevens
Hoofdauteurs: Islam, Mehafuza, Al Mamun, S.M. Abdulla
Andere auteurs: Alam, Dr. Md. Ashraful
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2023
Onderwerpen:
Malaria parasites
Vision transformer
Deep learning
Grad-CAM
Cognitive learning theory (Deep learning)
Artificial intelligence
Machine learning
Online toegang:http://hdl.handle.net/10361/20000

Internet

http://hdl.handle.net/10361/20000

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