Performance comparison of CNN architectures for detecting Malaria diseases

Performance comparison of CNN architectures for detecting Malaria diseases

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Podrobná bibliografie
Hlavní autoři:	Rinky, Habiba Karim, Bhuiyan, Rakeya Rahim, Rahman, Humayra Tasnim
Další autoři:	Chakrabarty, Amitabha
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2021
Témata:	Malaria Plasmodium falciparum Plasmodium vivax Plasmodium malaria Plasmodium ovale Deep learning
On-line přístup:	http://hdl.handle.net/10361/14725

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