0% Complete
فارسی
Home
/
شانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Attention-Enhanced Ensemble Learning for Automated Stenosis Detection in X-ray Coronary Angiography Videos
Authors :
Marzieh Sadat Hosseini
1
Ahmad R. Naghsh-Nilchi
2
Mehran Safayani
3
Masoumeh Sadeghi
4
1- دانشگاه اصفهان
2- دانشگاه اصفهان
3- دانشگاه صنعتی اصفهان
4- دانشگاه علوم پزشکی اصفهان
Keywords :
Coronary artery disease،stenosis detection،stacked ensemble learning،X-ray coronary angiography،key frame selection،attention
Abstract :
Coronary artery disease is a major global health concern that requires timely and accurate diagnosis to prevent life-threatening outcomes. While X-ray coronary angiography (XCA) is the clinical gold standard for detecting stenosis, its interpretation remains subjective and variable across observers. This paper presents a deep learning-based framework for automated stenosis detection in XCA videos, focusing on the right coronary artery. From each video, five key frames are extracted using uniform sampling and refined through a segmentation-guided selection method. We employ a stacked ensemble model that combines VGG16 and VGG19 architectures, each enhanced with a Convolutional Block Attention Module to emphasize salient features. Frame-level predictions are aggregated via majority voting to achieve video-level classification. Experimental results on 413 patient cases using five-fold stratified cross-validation show that our model outperforms individual CNN baselines, achieving F1-scores of 77.19% and 77.61% at the frame and video levels, respectively. The results highlight the effectiveness of attention-guided ensemble learning for robust stenosis detection.
Papers List
List of archived papers
Traffic Aware Routing in P4 Based Software Defined Networks
Ahmad Hamid - Reza Mohammadi
AI-based Message Spam Classification Framework for Secure Autonomous Vehicles Communication
Riya Upadhyay - Mili Virani - Lakshit Pathak - Rajesh Gupta - Sudeep Tanwar - Hossein Shahinzadeh
SecVanet: provably secure authentication protocol for sending emergency events in VANET
Seyed Amir Mousavi - Mohammad Sadeq Sirjani - Seyyed Javad Bozorg zadeh Razavi - Morteza Nikooghadam
StockFM: پیش بینی قیمت بازار بورس ایران به کمک مدل بنیادین سری زمانی
فاطمه چیت ساز - سامان هراتی زاده
An Improved Drone Detection Method Using Deep Learning for Augmentation Detection Speed
Mohammad Bahrami - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti - Sajjad Ansaria
Distributed coordination protocol for event data exchange in IoT monitoring applications
Behnam Khazael - Hadi Tabatabaee Malazi
Impact of ICT and Digital Evolution on Capital Structure in Companies
Ali Noori
An Efficient Link Prediction Method using Community Structures
Dr Hadi Shakibian - Setareh Mokhtari
Securing the Internet of Things via Blockchain-Aided Smart Contracts
S. Mohammadali Zanjani - Hossein Shahinzadeh - Jalal Moradi - Zohreh Rezaei - Bahareh Kaviani-Baghbaderani - Sudeep Tanwar
A Data-Driven Hybrid Algorithm for 2D Path Planning via Modeling and Metaheuristic-Based Identification
Vahid Safari Dehnavi - Masoud Shafiee
more
Samin Hamayesh - Version 42.5.2