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All Journal Jurnal Imejing Diagnostik Generation Journal
Hidayat, Eka Putra Syarif
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Computer Science & IT Health Professions Medicine & Pharmacology

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Journal : Generation Journal

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Bahasa Inggris Nurbaiti, Nurbaiti; Hidayat, Eka Putra Syarif; Anwar, Khairil; Hermawan, Dudung; Izzuddin, Salman
Generation Journal Vol 8 No 1 (2024): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v8i1.21601

Abstract

Early detection of breast cancer with computer assistance has developed since two decades ago. Artificial intelligence using the convolutional neural network (CNN) method has successfully predicted mammography images with a high level of accuracy similar to human brain learning. The potential of AI models provides opportunities to spot breast cancer cases better. This research aims to develop AI models with CNN using the public DDSM dataset with a sample size of 1871, consisting of 1546 images for training and 325 images for testing. These AI models provided prediction results with different accuracy rate. Increasing the accuracy of the AI model can be done by improving the image quality before the modeling process, increasing the number of datasets, or carrying out a more profound iteration process so that the AI model with CNN can have a better level of accuracy.
Co-Authors Indradewa, Rhian Izzuddin, Salman Khairil Anwar Muhammad Rizqi Nurwijayanti Sabina, Asy Syifa Supriyaningsih, Eny Widiatmoko, Mahfud Edy