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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| 主要な著者: | , , , , , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English English |
| 出版事項: |
IEEE
2022
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| 主題: | |
| オンライン･アクセス: | 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 |
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http://umpir.ump.edu.my/id/eprint/37878/1/Classification%20of%20gram-positive%20and%20gram-negative%20bacterial%20images%20.pdfhttp://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