Article Per Year (5 Year)
p-Index From 2020 - 2025
1.235
P-Index
This Author published in this journals
All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi E-Dimas: Jurnal Pengabdian kepada Masyarakat Conference SENATIK STT Adisutjipto Yogyakarta Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Applied Data Sciences Jurnal Multidisiplin Madani (MUDIMA)
Anton Setiawan Honggowibowo
Institut Teknologi Dirgantara Adisutjipto, Yogyakarta
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences

Published : 105 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Applied Data Sciences

 1 
The CNN Model with YOLO Architecture for Ultrasonography Images in Early Breast Cancer Detection Ayuningtyas, Astika; Wintolo, Hero; Sumari, Arwin Datumaya Wahyudi; Setyaningsih, Emy; Pujiastuti, Asih; Honggowibowo, Anton Setiawan; Nuryatno, Edi Triono; Kusumaningrum, Anggraini
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.587

Abstract

The rapid development of object detection technology has opened new opportunities in the healthcare sector, especially in early cancer detection. This paper presents a deep learning-based breast cancer detection system using ultrasound images. The primary goal of this study is to create a model that can effectively differentiate between malignant and benign breast tumors, assisting in early diagnosis. The proposed system employs the Convolutional Neural Network (CNN) algorithm with You Only Look Once version 5 (YOLOv5) architecture, which is renowned for its high speed and accuracy in object detection tasks. A dataset comprising 10,954 ultrasound images was used to train the model, with 70% allocated for training, 20% for validation, and 10% for testing. The study reveals that the model achieves a high accuracy rate of 92.8% for malignant tumor detection and 99.1% for benign tumors, with precision rates of 99.6% for malignant tumors and 97.5% for benign tumors. These results demonstrate the feasibility of the proposed model as a reliable tool for early breast cancer detection. The findings highlight the potential of deep learning in medical image processing, suggesting that this technology could be further developed into an accessible, efficient early detection system for breast cancer in clinical settings. Future research could explore the integration of additional imaging modalities and the application of this model in real-world healthcare environments
Co-Authors A.A. Ketut Agung Cahyawan W Agustian, Harliyus Akbar Maulana Tirta Alprianta, Hizkia Anggraini Kusumaningrum Anggraini Kusumaningrum, Anggraini Anis Syaul Umami Ari Restani Ari Wibowo Ari Wibowo Arwin Datumaya Wahyudi Sumari Astika Ayuningtyas Astika Ayuningtyas Astika AyuningTyas, Astika Atika Rina Baginda Suryanto Baiq Dinasti Gita Purnama Putri Dewi, Ni Kadek Ceryna Dimas Satriadi Dwi - Nugraheny Dwi Nugrahenny, Dwi Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny, Dwi Dwi Prasetiyo Dwipayani, Made Intan Eko Suryanto Eko Suryanto Emy Setyaningsih Erika Silvia Sihombing Fera Suprapti Freddy Kurniawan Gita Purnama Putri, Baiq Dinasti Hadiyanti, Widya Anggraeni Hamdani Widyatmoko HARLIYUS AGUSTIAN Harliyus Agustian Haruno Sajati Hasibuan, Piniel Romulia Hizkia Alprianta Humaerah, Mutiah Ifrisma, Irisma Irawaty, Mardiana Irisma Ifrisma Ismi Yuniati Istiqomah Nuraini Linda Putri Susanti Made Intan Dwipayani Mandasari, Yofy Marinata Vanny Tarida Sitohang Maya Suhayati Mega Lesya Mukti, Mega Lesya Muhammad Rivai Muhammad Syaifuddin Muntaqi, Rifdan Mutiah Humaerah Ni Kadek Ceryna Dewi Nurcahyani Dewi Retnowati Nurcahyani Dewi Retnowati Nurcahyani Dewi Retnowati Nuryatno, Edi Triono Omara, Safik Pandapotan Pandapotan Pandapotan, Pandapotan Piniel Romulia Hasibuan Prasetiyo, Dwi Pujiastuti, Asih Restani, Ari Rifdan Muntaqi Rina Widiastuti Rina Widiastuti, Rina Rina, Atika Safik Omara Saiful Bahri Salam Aryanto Saprudin - - Sapto Aji Wibowo Saputra, Vendy Yuda Satriadi, Dimas Sembiring, Rinawati Sihombing, Erika Silvia Siti Anisah Siti Anisah Sitohang, Marinata Vanny Tarida Slamet Santosa Sudirman Sudirman Suhayati, Maya Sumarsono Sumarsono Sumarsono Sumarsono Suprapti, Fera Suryanto Suryanto Suryanto Suryanto Suryanto, Baginda Susanti, Linda Putri Tirta, Akbar Maulana Titien Sediartie Titien Sediartie Umami, Anis Syaul Vendy Yuda Saputra Widya Anggraeni Hadiyanti Widyatmoko, Hamdani Wintolo, Hero Wiyono, Koko Yofy Mandasari Yoga Yuniadi Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuliani Indrianingsih Yuniati, Ismi