Segmentation of Squamous Columnar Junction on VIA Images using U-Net Architecture

Akhiar Wista Arum (Universitas Sriwijaya)
Siti Nurmaini (Universitas Sriwijaya)
Dian Palupi Rini (Universitas Sriwijaya)
Patiyus Agustiansyah (Department of Obstetric and Gynecology, Division Oncology of Gynecology, Faculty of Medicine, Universitas Sriwijaya, Palembang)
Muhammad Naufal Rachmatullah

ComEngApp : Computer Engineering and Applications Journal
Vol 10 No 3 (2021)

Cervical cancer is the second most common cancer that affects women, especially in developing countries including Indonesia. Cervical cancer is a type of cancer found in the cervix, precisely in the squamous columnar junction (SCJ). Early screening for cervical cancer can be reduce the risk of cervical cancer. One of the popular screening tool methods for the detection of cervical pre-cancer is the Visual Inspection with Acetic Acid (VIA) method. This is due to the level of effectiveness, convenience and low cost. This paper proposes a method for the detection and segmentation of the SCJ region on VIA images using U-Net. This study is the first research conducted using the CNN method to perform segmentation tasks in the SCJ region. The best performance results are shown from the Pixel Accuracy, Mean IoU, Mean Accuracy, Dice coefficient, Precision and Sensitivity values, namely 90.86%, 56.5%, 75.69%, 34.09%, 41.24%, and 56.91%. Keywords: Cervical Pre-cancer, Screening VIA, SCJ, U-Net.