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.

מידע ביבליוגרפי
Main Authors: Rinky, Habiba Karim, Bhuiyan, Rakeya Rahim, Rahman, Humayra Tasnim
מחברים אחרים: Chakrabarty, Amitabha
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2021
נושאים:
Malaria
Plasmodium falciparum
Plasmodium vivax
Plasmodium malaria
Plasmodium ovale
Deep learning
גישה מקוונת:http://hdl.handle.net/10361/14725

אינטרנט

http://hdl.handle.net/10361/14725

פריטים דומים