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

• 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/37878/1/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; http://umpir.ump.edu.my/id/eprint/37878/; https://doi.org/10.1109/ICOIACT55506.2022.9971815

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...