VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations

HQ Nguyen, K Lam, LT Le, HH Pham, DQ Tran… - Scientific Data, 2022 - nature.com
… Computer-aided diagnosis (CAD) systems for chest radiographs (also referred to as Chest
X-ray or CXR) have recently achieved great success thanks to the availability of large labeled …

A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs

NH Nguyen, HQ Nguyen, NT Nguyen… - arXiv preprint arXiv …, 2021 - arxiv.org
… In particular, we observe that a CXR radiology report without any findings always includes
4 paragraphs that describe the 4 fixed anatomical regions of the thorax: chest wall, pleura, …

An accurate and explainable deep learning system improves interobserver agreement in the interpretation of chest radiograph

HH Pham, HQ Nguyen, HT Nguyen, LT Le… - IEEE Access, 2022 - ieeexplore.ieee.org
… ABSTRACT Interpretation of chest radiographs (CXR) is a difficult but essential task for
detecting … We present in this section VinDr-CXR, a DL-based framework for the per-radiograph

PediCXR: an open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children

HH Pham, NH Nguyen, TT Tran, TNM Nguyen… - Scientific Data, 2023 - nature.com
… Computer-aided diagnosis systems in adult chest radiography (CXR) have recently … To
facilitate the labeling process, we designed and built a web-based framework called VinDr Lab …

[HTML][HTML] VinDr-PCXR: An open, large-scale pediatric chest X-ray dataset for interpretation of common thoracic diseases

HH Pham, TT Tran, HQ Nguyen - PhysioNet (version 1.0. 0), 2022 - physionet.org
… Computer-aided diagnosis systems in adult chest radiography (CXR) have recently achieved
great success thanks to the availability of large-scale, annotated datasets and the advent of …

[PDF][PDF] Chest Radiography Content-Based Image Retrieval

MFF da Silva - 2023 - repositorio-aberto.up.pt
… presentes em imagens de CXR. Os principais … VinDr-CXR e ChestXray-14 foram utilizadas
como coleções de busca eo conjunto de teste pertencente à base de dados VinDr-CXR foi …

Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese

T Nguyen, TM Vo, TV Nguyen, HH Pham, HQ Nguyen - Plos one, 2022 - journals.plos.org
… With this approval, the IRB allows us to access their data and analyze raw chest X-ray
scans using our VinDr’s platform, which will be used for data filtering. The need for obtaining …

VinDr-RibCXR: A benchmark dataset for automatic segmentation and labeling of individual ribs on chest X-rays

HC Nguyen, TT Le, HH Pham, HQ Nguyen - arXiv preprint arXiv …, 2021 - arxiv.org
… In this work, we introduced a new benchmark dataset and baseline predictive models for
automatically segmenting and labeling individual ribs from chest radiographs. Our experimental …

Deployment and validation of an AI system for detecting abnormal chest radiographs in clinical settings

NH Nguyen, HQ Nguyen, NT Nguyen… - Frontiers in Digital …, 2022 - frontiersin.org
… , VinDr-CXR, as illustrated in Figure 1. A set of AI results is obtained by directly integrating
VinDr-CXR … the performance of the VinDr-CXR system in classifying normal/abnormal chest

Lesion-based chest radiography image retrieval for explainability in pathology detection

J Pedrosa, P Sousa, J Silva, AM Mendonça… - Iberian Conference on …, 2022 - Springer
Chest X-ray (CXR), or chest radiography, is one of the most ubiquitous medical imaging …
The CXRs used are from the VinDr-CXR dataset [14], which consists of 18.000 postero-…