Resources

87 results for "imaging"

Database Credentialed Access

RaDialog Instruct Dataset

Chantal Pellegrini, Ege Özsoy, Benjamin Busam, et al.

Conversational AI tools that can generate and discuss clinically correct radiology reports for a given medical image have the potential to transform radiology. Such a human-in-the-loop radiology assistant could facilitate a collaborative diagnostic …
Published: July 12, 2024. Version: 1.1.0
Database Credentialed Access

ReFiSco: Report Fix and Score Dataset for Radiology Report Generation

Katherine Tian, Sina J Hartung, Andrew A Li, et al.

Automated generation of clinically accurate radiology reports can improve patient care. In order to improve automatic report generation, it is helpful to understand what types of errors are common in generated reports. Thus, we introduce the Report …
Published: Aug. 23, 2023. Version: 1.0
Database Open Access

Facial and oral temperature data from a large set of human subject volunteers

Quanzeng Wang, Yangling Zhou, Pejman Ghassemi, et al.

To evaluate the benefit of implementing standardized deployment and acquisition practices in the measurement of elevated body temperature (EBT) with infrared thermographs (IRTs), we conducted a clinical study with more than one thousand subjects.  S…
Published: May 24, 2023. Version: 1.0.0
Database Credentialed Access

BRAX, a Brazilian labeled chest X-ray dataset

Eduardo Pontes Reis, Joselisa Paiva, Maria Carolina Bueno da Silva, et al.

The Brazilian labeled chest x-ray dataset (BRAX) is an automatically labeled dataset designed to assist researchers in the validation of machine learning models. The dataset contains 24,959 chest radiography studies from patients presenting to a lar…
Published: June 17, 2022. Version: 1.1.0
Database Restricted Access

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

Hieu Huy Pham, Tien Thanh Tran, Ha Quy Nguyen

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…
Published: March 21, 2022. Version: 1.0.0
Database Restricted Access

VinDr-Mammo: A large-scale benchmark dataset for computer-aided detection and diagnosis in full-field digital mammography

Hieu Huy Pham, Hieu Nguyen Trung, Ha Quy Nguyen

Breast cancer is one of the most prevalent types of cancer and the leading type of cancer death. Mammography is the recommended imaging modality for periodic breast cancer screening. A few datasets have been published to develop computer-aided tools…
Published: March 21, 2022. Version: 1.0.0
Database Credentialed Access

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

Ha Quy Nguyen, Hieu Huy Pham, le tuan linh, et al.

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…
Published: June 22, 2021. Version: 1.0.0
Database Restricted Access

Smartphone-Captured Chest X-Ray Photographs

Po-Chih Kuo, ChengChe Tsai, Diego M Lopez, et al.

Recent research has applied deep learning imaging techniques to detect pulmonary pathology in chest X-rays (CXR) and achieved performance comparable with radiologists on specific lung abnormalities. Industry has managed to deploy such artificial int…
Published: Sept. 27, 2020. Version: 1.0.0
Database Restricted Access

InReDD-Dataset-PAN924-Ext-BoneLoss-769

Thiago Alves Vieira de Matos, João Donato Bauman, Maria Julia Ramos, et al.

InReDD-Dataset-PAN924-Ext-BoneLoss-769 is a restricted-access extension of InReDD-Dataset-PAN924 containing 769 panoramic dental radiographs and 21,047 geometric annotations in a single COCO-compatible JSON file. It provides 18,792 tooth-crown polyg…
Published: Sept. 17, 2026. Version: 1.0.0
Database Credentialed Access

MIMIC-III-Ext-MIMIC-Patient: Structured Per-Patient JSON Records for Clinical Question Answering

Tianqi Shang, Weiqing He, Charles Zheng, et al.

This project provides MIMIC-Patient, a structured, per-patient representation of the MIMIC-III database designed for large language model (LLM)–based clinical question answering. For each of 500 admissions, we reconstruct the patient’s episode into …
Published: Sept. 11, 2026. Version: 1.0.0