Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : ComEngApp : Computer Engineering and Applications Journal

Detection of Ventricular Septal Defect in Pediatric Cardiac Ultrasound Videos Using Parasternal View and Faster R-CNN Nasrudin, Muhammad; Shindi Shella May Wara; Amri Muhaimin; Nur Indah Nirmalasari; Mega Rizkya Arfiana
Computer Engineering and Applications Journal Vol. 15 No. 1 (2026)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v15i1.1334

Abstract

Congenital heart disease (CHD), particularly ventricular septal defect (VSD), remains a major contributor to pediatric morbidity, while echocardiographic diagnosis is highly dependent on operator expertise and image quality. This study examines the feasibility of an object-detection-based intelligent imaging framework for localizing VSD in pediatric cardiac ultrasound videos acquired from the parasternal long-axis view. Rather than proposing a novel detection algorithm, this work adopts a system-oriented approach by evaluating the Faster R-CNN framework under practical clinical constraints, including limited annotated data and heterogeneous ultrasound characteristics. Three convolutional neural network backbones such as ResNet50, ResNet101, and Inception-ResNet V2 are comparatively analyzed within a unified detection pipeline. Experimental results indicate that the ResNet101-based model achieves the highest localization performance at an intersection-over-union threshold of 0.5, while ResNet50 provides more consistent precision across stricter localization thresholds. Although false-positive detections are observed in acoustically challenging frames, the proposed framework maintains real-time feasibility at approximately 7–8 frames per second. The findings offer practical insights into accuracy–efficiency trade-offs and backbone selection for the development of clinically aware intelligent echocardiography systems, supporting the application of information and communication technology in pediatric cardiac imaging.
Co-Authors A.N. Ari Bowo Agung Prihantoro Agus Suprianto Ahmad Dimyati Ahmad Salim Ahmad Syafii Rahman Ahmad Turmudzi Alif Ibrahim, Daffa Amri Muhaimin Anggar Kaswati Aprilia Aprilia, Aprilia Arifta, Septia Dini Arum Yuli Dwi Rahmawati Azizah Zalfa Assyadida Daluti Delimanugari Delsika Pramata Sari Diyah Sari Endah Setyowati Endang Sriwinarsih Endang Sriwinarsih Fadilah Fadilah, Fadilah Fattah Setiawan Santoso fernando, Mochamad Firman Habsari, Nadiya Hidayat, Ridwan Nur Hilman Harun Hudan Mudaris Imroatun Imroatun Intan Kusumawati Irawan, Tanaya Anindita Juhri Juhri Kartika Maulida Hindrayani Khairunisa, Adenda Khilda Maulidiah Lely Nur Hidayah Syafitri M. Hadi Manshur MAFTUKHATUSOLIKHAH MAFTUKHATUSOLIKHAH Mega Rizkya Arfiana Mimi Indah Lestari Muhamad Mahali Muhammad Agus Najib Muhiyatul Huliyah Musaropah, Umi Muthmainnah Muthmainnah Nadjih, Difla Nginayatul Khasanah Nginayatul Khasanah Nginayatul Khasanah Ni Luh Ayu Nariswari Dewi Nur Ayu Zita Sari Nur Indah Nirmalasari Nuryati Nuryati Pasha, Naufal Ricko Maulana Pradipa, Rafi R. Ati Sukmawati rachmanto, Nugroho Fajar Rahayu, Supriati Hardi Rizky Pamuji Shindi Shella May Wara Siswadi Siswadi Siti Aisyah Steffany Marcellia Witanto Subektianto, Rahmad Adi Suhandi Suhandi, Suhandi Supriyanti Supriyanti Supriyanti Supriyanti Syavicky, Ahmad Reihan Taufik Nugroho Toto Hermawan Tri Ratna Herawati Trimono Triwahyu Budiutomo Widiyastuti, Anik Wiranda, Nuruddin Wiranthi Prastomo Wulandari, Hani Fitria Yayah Rukhiyah Yayah Rukhiyah Yurniati, Yurniati Zainul Arifin