Resources
13 results for "disease label"
Challenge
Credentialed Access
CXR-LT: Multi-Label Long-Tailed Classification on Chest X-Rays
Chest radiography presents a "long-tailed" distribution of findings, where a few diseases are common, but most are rare. Diagnosis is further complicated by its multi-label nature, as patients often exhibit multiple co-occurring findings. While rece…
Database
Credentialed Access
CAD-Chest: Comprehensive Annotation of Diseases based on MIMIC-CXR Radiology Report
Several extant chest X-ray (CXR) datasets predominantly comprise binary disease labels and exhibit a deficiency in providing comprehensive disease-related information. Crucial facets of disease management, including disease severity, diagnostic unce…
Database
Restricted Access
EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs
This dataset contains a de-identified collection of 100,000 12-lead electrocardiograms (ECGs) with paired structural heart disease (SHD) labels derived from echocardiography, collected at Columbia University Irving Medical Center. Each ECG is provid…
clinical decision support
digital health
structural heart disease
health equity
heart failure
transthoracic echocardiogram
ai model deployment
valvular heart disease
cardiovascular screening
ai in healthcare
left ventricular dysfunction
population health
aortic stenosis
artificial intelligence
deep learning
machine learning
electrocardiogram
ecg
Database
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VinDr-PCXR: An open, large-scale pediatric chest X-ray dataset for interpretation of common thoracic diseases
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 deve…
Database
Credentialed Access
VinDr-CXR: An open dataset of chest X-rays with radiologist annotations
We describe here a dataset of more than 100,000 chest X-ray scans that were retrospectively collected from two major hospitals in Vietnam. Out of this raw data, we release 18,000 images that were manually annotated by a total of 17 experienced radio…
Database
Restricted Access
CheXchoNet: A Chest Radiograph Dataset with Gold Standard Echocardiography Labels
Existing chest radiograph datasets, such as CheXpert and ChestX-ray14, have driven the development of new machine learning approaches to achieve expert or near-expert level performance on a variety of tasks. The primary focus of models developed usi…
Database
Credentialed Access
A Brazilian Multilabel Ophthalmological Dataset (BRSET)
The Brazilian Multilabel Ophthalmological Dataset (BRSET) is a multi-labeled ophthalmological dataset designed to improve scientific community development and validate machine learning models. In ophthalmology, ancillary exams support medical decisi…
Database
Credentialed Access
MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
MS-CXR-T is a multi-modal benchmark dataset for evaluating biomedical vision-language processing (VLP) models on two distinct temporal tasks in radiology: image classification and sentence similarity. The former comprises multi-image frontal chest X…
Database
Credentialed Access
CORAL: expert-Curated medical Oncology Reports to Advance Language model inference
Both medical care and observational studies in oncology require a thorough understanding of a patient's disease progression and treatment history, often elaborately documented within clinical notes. As large language models (LLMs) are becoming more …
Database
Restricted Access
Pulmonary Edema Severity Grades Based on MIMIC-CXR
Clinical management decisions for patients with acutely decompensated heart failure and many other diseases are often based on grades of pulmonary edema severity, rather than its mere absence or presence. Chest radiographs are commonly performed to …