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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Rinky, Habiba Karim, Bhuiyan, Rakeya Rahim, Rahman, Humayra Tasnim
مؤلفون آخرون:	Chakrabarty, Amitabha
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2021
الموضوعات:	Malaria Plasmodium falciparum Plasmodium vivax Plasmodium malaria Plasmodium ovale Deep learning
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/14725

مواد مشابهة

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