Article detail · 2014
Two public chest X-ray datasets for computer-aided screening of pulmonary diseases
- Year
- 2014
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
- Catalog match (ISSN) Quantitative Imaging in Medicine and Surgery
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
The U.S. National Library of Medicine has made two datasets of postero-anterior (PA) chest radiographs available to foster research in computer-aided diagnosis of pulmonary diseases with a special focus on pulmonary tuberculosis (TB). The radiographs were acquired from the Department of Health and Human Services, Montgomery County, Maryland, USA and Shenzhen No. 3 People's Hospital in China. Both datasets contain normal and abnormal chest X-rays with manifestations of TB and include associated radiologist readings.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
944 citations
OpenAlex cited_by_count (cache / database)
24 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
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- A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection 2021
- A novel stacked generalization of models for improved TB detection in chest radiographs 2018
- Comparing deep learning models for population screening using chest radiography 2018
- Spatial Pyramid Pooling in Deep Convolutional Networks for Automatic Tuberculosis Diagnosis 2020
- An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works 2023