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

ABSTRACT: 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 high-performance supervised learning algorithms. However, the development of diagnostic models for detecting and diagnosing pediatric diseases in CXR scans is undertaken due to the lack of high-quality physician-annotated datasets. To overcome this challenge, we introduce and release PediCXR, a new pediatric CXR dataset of 9,125 studies retrospectively collected from a major pediatric hospital in Vietnam between 2020 and 2021. Each scan was manually annotated by a pediatric radiologist with more than ten years of experience. The dataset was labeled for the presence of 36 critical findings and 15 diseases. In p

SUBMITTER: Pham HH 

PROVIDER: S-EPMC10133237 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature