A CNN-based Approach for Breast Cancer Classification from Ultrasound Images
DOI:
https://doi.org/10.37859/jst.v12i1.9378
Abstract
Breast cancer is one of the most frequently diagnosed cancers and remains a leading cause of cancer-related mortality among women worldwide. According to WHO Globocan 2020, breast cancer ranks second globally, with 2,262,419 cases out of a total of 19,292,289 cancer cases, accounting for approximately 11.7%. Early detection plays a critical role in reducing breast cancer mortality. In this study, a machine learning-based approach using Convolutional Neural Networks (CNN) was employed to classify breast cancer using ultrasound imaging. The dataset, collected by Al-Dhabyani et al. at Baheya Hospital in 2018, consists of ultrasound images of women aged between 25 and 75 years. The proposed CNN model includes stages of data input, preprocessing, training, testing, and performance evaluation. The model achieved an accuracy of 85%, demonstrating promising results for automated breast cancer detection. Further optimization is recommended to improve classification performance.
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References
Al-Dhabyani W, Gomaa M, Khaled H, Fahmy A. Dataset of breast ultrasound images. Data Brief. 2020. Doi: 10.1016/j.dib.2019.104863.
Atthalla I N, Jovandy A, Habibie H. Klasifikasi Penyakit Kanker Payudara Menggunakan Metode K Nearest Neighbor. Annual Research Seminar (ARS). 2018. Page: 148–151.
Aviana R, Astuti L, Wijaya I. Akurasi Ultrasonografi dalam Mendiagnosis Kanker Payudara di RSUP Sanglah Denpasar. Jurnal Medika Udayana. 2019.
International Agency for Research on Cancer (IARC). Indonesia - Global Cancer Observatory. Globocan. 2020.
Liu J, Li W, Zhao N, Cao K, Yin Y, Song Q, Chen H, Gong X. Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer Diagnosis. Lecture Notes in Computer Science. 2018. Page: 868–875. Doi: https://doi.org/10.1007/978-3-030-00934-2_96
Rahayu R F, Rospitasari, Prabata A, Maharina L. Karakteristik Hasil Ultrasonografi Payudara pada Program Deteksi Dini Kanker Payudara di Kota Solo. Journal of Agri-food, Nutrition and Public Health. 2020
Rokom. Kanker Payudara Paling Banyak di Indonesia, Kemenkes Targetkan Pemerataan Layanan Kesehatan dalam Sehat Negeriku KEMENKES. 2022 Feb 02. Available on https://sehatnegeriku.kemkes.go.id/baca/umum/20220202/1639254/kanker-payudara-paling-banyak-diindonesia-kemenkes-targetkanpemerataanlayanan-kesehatan/targetkanpemerataan-layanan-kesehatan/
Wicaksana P D. Perbandingan Algoritma K-Nearest Neighbor Dan Naive Bayes Untuk Studi Data Wisconsin Diagnosis Breast Cancer [Skripsi]. Yogyakarta: Universitas Sanata Dharma. 2015.
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Copyright (c) 2025 Dila Marta Putri, M Ikhsan, Siti Nurjanah, Fahrizal Fahrizal; Bastul Wajhi Akramunnas, Asde Rahmawati
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