DCGAN-based Medical Image Augmentation to Improve ELM Classification Performance

Rando, Noor Akhmad Setiawan, Adhistya Erna Permanasari, Riries Rulaningtyas, Andriyan Bayu Suksmono, Imas Sukaesih Sitanggang

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

3 Citations (Scopus)

Abstract

Cervical cancer is one of the deadliest diseases in women. One of the cervical cancer screening methods is pap smear method. However, using a pap smear method to detect cervical cancer takes a long time for a pathologist to diagnose. Hence, a rapid development of medical computerization for early detection to get the results quickly is needed. This paper proposes synthetic data augmentation by using Deep Convolutional Generative Adversarial Network (DCGAN) to increase number of pap smear samples in dataset. Gray Level Co-occurrence Matrix (GLCM) is employed to extract features from dataset. Classification of 3 classes which are Adenocarcinoma, High-Grade Squamous Intraepithelial Lesion (HSIL), and Squamous Cell Carcinoma (SCC) is conducted using Extreme Learning Machine (ELM). The result shows that the addition of synthetic data improves the performance of ELM with the accuracy of 90%. This accuracy is better than the accuracy of ELM using only the original dataset which is 85%.

Original languageEnglish
Title of host publicationProceeding - IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages206-211
Number of pages6
ISBN (Electronic)9781665460309
DOIs
Publication statusPublished - 2022
Event11th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022 - Solo, Indonesia
Duration: 3 Nov 20225 Nov 2022

Publication series

NameProceeding - IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022

Conference

Conference11th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022
Country/TerritoryIndonesia
CitySolo
Period3/11/225/11/22

Keywords

  • Cervical cancer
  • DCGAN
  • ELM
  • GLCM
  • Pap Smear

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