Open AccessRapid bacterial colony classification using deep learning
Author(s) -
Son Ali Akbar,
Kawarul Hawari Ghazali,
Habsah Hasan,
Zeehaida Mohamed,
Wahyu Sapto Aji,
Anton Yudhana
Publication year - 2022
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v26.i1.pp352-361
Subject(s) - artificial intelligence , support vector machine , medical diagnosis , deep learning , pattern recognition (psychology) , classifier (uml) , computer science , machine learning , transfer of learning , medicine , pathology
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.