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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Kawarul Hawari Ghazali
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Rapid bacterial colony classification using deep learning Son Ali Akbar; Kawarul Hawari Ghazali; Habsah Hasan; Zeehaida Mohamed; Wahyu Sapto Aji; Anton Yudhana
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i1.pp352-361

Abstract

Bacterial colonies infection is one of the causes of bloodstream disease, and it can be a fatality. Therefore, medical diagnoses require fast identification and classification of organisms. Artificial Intelligence with deep learning (DL) can now be developed as a rapid bacterial classification. The research aims to combine deep learning and support vector machines (SVM). The ResNet-101 model of the DL algorithm extracted the image’s features using transfer learning then classified by the SVM classifier. According to the experimental results, this model had 99.61% accuracy, 99.58% recall, 99.58% precision, and 99.97% specificity. The technique presented might enhance clinical decision-making.
Co-Authors Anton Yudhana Habsah Hasan Son Ali Akbar Wahyu Sapto Aji Zeehaida Mohamed