Classification of COVID-19 Patients Using Deep Learning Architecture of InceptionV3 and ResNet50

Muhammad Raihan, Muhammad Suryanegara

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

This paper aims to compare the deep learning Convolutional Neural Network (CNN) model for a case study of 3 classes chest x-ray classification of patients with "COVID-19", "pneumonia", and "normal people"using 2 architectures, namely InceptionV3 and ResNet50. This model was created using the GoogleColab platform with the Python programming language. This comparison aims to find the best results using 4 evaluation metrics and several scenarios for dividing the number of datasets used for training and validation. The evaluation metrics used include accuracy, precision, recall, and F1-score. The best accuracy is generated on a model with the ResNet50 architecture with a training accuracy value of 98.62% and accuracy validation of 96.53%. While in the InceptionV3 architecture, the resulting value for training accuracy is 96.13% and accuracy validation is 91.52%.

Original languageEnglish
Title of host publicationProceedings - 2021 4th International Conference on Computer and Informatics Engineering
Subtitle of host publicationIT-Based Digital Industrial Innovation for the Welfare of Society, IC2IE 2021
EditorsIklima Ermis Ismail, Indra Hermawan, Muhammad Yusuf Bagus Rasyidin, Malisa Huzaifa, Asep Taufik Muharram, Noorlela Marcheeta, Dewi Kurniawati, Ade Rahma Yuly, Maria Agustin, Rizki Elisa Nalawati, Dodon Turianto Nugrahadi, Irwan Budiman
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages46-50
Number of pages5
ISBN (Electronic)9781665442886
DOIs
Publication statusPublished - 2021
Event4th International Conference on Computer and Informatics Engineering, IC2IE 2021 - Virutal, Depok, Indonesia
Duration: 14 Sept 2021 → …

Publication series

NameProceedings - 2021 4th International Conference on Computer and Informatics Engineering: IT-Based Digital Industrial Innovation for the Welfare of Society, IC2IE 2021

Conference

Conference4th International Conference on Computer and Informatics Engineering, IC2IE 2021
Country/TerritoryIndonesia
CityVirutal, Depok
Period14/09/21 → …

Keywords

  • artificial intelligence
  • CNN
  • COVID-19
  • deep learning
  • inceptionV3
  • pneumonia
  • resNet50

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