25 citations · 33 across the 4 of their papers we have counts for
4 papers
From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand
Isarun Chamveha, Tretap Promwiset, Napat Wanchaitanawong +3
Chest radiography (CXR) remains the most widely used thoracic imaging modality, yet expert interpretation is constrained by a severe shortage of radiologists in Thailand and across…
Deep Learning-Based Breast Cancer Detection in Mammography: A Multi-Center Validation Study in Thai Population
Isarun Chamveha, Supphanut Chaiyungyuen, Sasinun Worakriangkrai +12
This study presents a deep learning system for breast cancer detection in mammography, developed using a modified EfficientNetV2 architecture with enhanced attention mechanisms. Th…
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study
Isarun Chamveha, Trongtum Tongdee, Pairash Saiviroonporn +1
Despite much promising research in the area of artificial intelligence for medical image diagnosis, there has been no large-scale validation study done in Thailand to confirm the a…
Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach
Isarun Chamveha, Treethep Promwiset, Trongtum Tongdee +2
We propose an algorithm for calculating the cardiothoracic ratio (CTR) from chest X-ray films. Our approach applies a deep learning model based on U-Net with VGG16 encoder to extra…