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.

書誌詳細
主要な著者:	Rinky, Habiba Karim, Bhuiyan, Rakeya Rahim, Rahman, Humayra Tasnim
その他の著者:	Chakrabarty, Amitabha
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2021
主題:	Malaria Plasmodium falciparum Plasmodium vivax Plasmodium malaria Plasmodium ovale Deep learning
オンライン･アクセス:	http://hdl.handle.net/10361/14725

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