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.

Detaylı Bibliyografya
Asıl Yazarlar:	Rinky, Habiba Karim, Bhuiyan, Rakeya Rahim, Rahman, Humayra Tasnim
Diğer Yazarlar:	Chakrabarty, Amitabha
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	Brac University 2021
Konular:	Malaria Plasmodium falciparum Plasmodium vivax Plasmodium malaria Plasmodium ovale Deep learning
Online Erişim:	http://hdl.handle.net/10361/14725

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