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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Anzil, Arsil Kultura
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Computer Science & IT Engineering

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Deep learning-based cervical cancer detection via colposcopy images integrated into an Android mobile application Supriyanti, Retno; Anzil, Arsil Kultura; Ramadhani, Yogi; Suroso, Suroso; Widanarto, Wahyu; Alqaaf, Muhammad; Dwi Hapsari, Kartika; Diana Kartika, Futiat
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp338-349

Abstract

Cervical cancer is a form of cancer that develops in the cells of the cervix, the lower part of the uterus that connects the uterus to the vagina. Early detection is essential for improving the chances of recovery from cervical cancer. One method for early detection is colposcopy image analysis, a medical procedure that examines the cervix and captures images for evaluation. These images were analyzed to observe color changes after the visual inspection with acetic acid (VIA) process. However, this analysis requires experienced and specially trained medical personnel. To address this challenge, a system that can automatically classify cervical cancer images is needed. Therefore, researchers proposed designing and developing an Android mobile application to enable early detection of cervical cancer using the convolutional neural network (CNN) algorithm. The CNN model was tested using test data to evaluate its performance. The optimized CNN model utilizing the ResNet50 architecture achieved 86% test accuracy, 85% precision, and 87% recall. The test results indicate that the model's accuracy is consistent before and after its implementation on the mobile application, confirming the effectiveness of both the model and its implementation as diagnostic tools.
Co-Authors Alqaaf, Muhammad Diana Kartika, Futiat Dwi Hapsari, Kartika Retno Supriyanti Suroso Suroso Wahyu Widanarto, Wahyu Yogi Ramadhani