The NIH Chest X-ray Dataset is a large, publicly available collection of chest X-ray images designed to advance research in medical imaging and thoracic disease detection. This dataset includes 112,120 frontal-view chest X-ray images from 30,805 unique patients, annotated with labels for 14 common thoracic diseases.

2024年9月23日 · The chest radiograph (also known as the chest x-ray or CXR) is anecdotally thought to be the most frequently-performed radiological investigation globally although no published data is known to corroborate this.

2024年4月25日 · Chest X-rays are not just pictures; they are windows into the health of your thoracic cavity, including lungs, heart, airways, blood vessels, and the bones of your spine and chest wall. These detailed images are pivotal in distinguishing normal from concerning signs, steering clinicians toward accurate diagnoses and effective treatments.

ChestX-ray14 is a medical imaging dataset which comprises 112,120 frontal-view X-ray images of 30,805 (collected from the year of 1992 to 2015) unique patients with the text-mined fourteen common disease labels, mined from the text radiological reports via NLP techniques.

2024年6月20日 · Chest X-rays produce images of your heart, lungs, blood vessels, airways, and the bones of the chest and spine. Chest X-rays can also reveal fluid in or around your lungs or air surrounding a lung. If you go to a health professional or the emergency room with chest pain, a chest injury or shortness of breath, you will typically get a chest X-ray.

2019年9月19日 · The MIMIC Chest X-ray (MIMIC-CXR) Database v2.0.0 is a large publicly available dataset of chest radiographs in DICOM format with free-text radiology reports. The dataset contains 377,110 images corresponding to 227,835 radiographic studies performed at the Beth Israel Deaconess Medical Center in Boston, MA.

VinDr-CXR contains more than 18,000 CXR scans collected from two major hospitals in Vietnam from 2018 to 2020. The images were labeled for presence of 28 different radiographic findings and diagnoses.

Normal study: CXR 4 zones - apical, upper, mid, lower zones. This case is used in 21 unlisted playlists.

Free, Curated, Full-Quality Chest Radiographs for Educators. No Crop. Pan. Zoom. Window. Level. Browse full-quality DICOM chest radiographs and find the perfect image for your presentation. Use in-browser tools to highlight the pathology you want at the quality and zoom level you need. Take a screenshot and insert the image into your presentation.

OpenCXR is an open source collection of chest x-ray (CXR) algorithms and utilities maintained by the Diagnostic Image Analysis Group (DIAG) at Radboud University Medical Center, Nijmegen, the Netherlands.