Classification of gram-positive and gram-negative bacterial images based on machine learning algorithm

Classification of gram-positive and gram-negative bacterial images based on machine learning algorithm

Bacteria are small living things that cannot be seen directly, and bacteria are the main cause of various diseases, so a tool is needed that can detect them. In fact, the manual classification process necessitates a significant amount of time. In addition, the traditional diagnosis has a limitation...

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Bibliographic Details
Main Authors: Son Ali, Akbar, Kamarul Hawari, Ghazali, Doni, Subekti, Yudhana, Anton, Liya Yusrina, Sabila, Wahyu Sapto, Aji, Habsah, Hasan
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2022
Subjects:
QH Natural history
RB Pathology
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/37878/
http://umpir.ump.edu.my/id/eprint/37878/1/Classification%20of%20gram-positive%20and%20gram-negative%20bacterial%20images%20.pdf
http://umpir.ump.edu.my/id/eprint/37878/2/Classification%20of%20gram-positive%20and%20gram-negative%20bacterial%20images%20_FULL.pdf

Internet

http://umpir.ump.edu.my/id/eprint/37878/
http://umpir.ump.edu.my/id/eprint/37878/1/Classification%20of%20gram-positive%20and%20gram-negative%20bacterial%20images%20.pdf
http://umpir.ump.edu.my/id/eprint/37878/2/Classification%20of%20gram-positive%20and%20gram-negative%20bacterial%20images%20_FULL.pdf

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