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.

Bibliografske podrobnosti
Main Authors:	Rinky, Habiba Karim, Bhuiyan, Rakeya Rahim, Rahman, Humayra Tasnim
Drugi avtorji:	Chakrabarty, Amitabha
Format:	Thesis
Jezik:	English
Izdano:	Brac University 2021
Teme:	Malaria Plasmodium falciparum Plasmodium vivax Plasmodium malaria Plasmodium ovale Deep learning
Online dostop:	http://hdl.handle.net/10361/14725

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