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63 results for "chest"

Database Restricted Access

CheXchoNet: A Chest Radiograph Dataset with Gold Standard Echocardiography Labels

Pierre Elias, Shreyas Bhave

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…
Published: March 20, 2024. Version: 1.0.0
Database Credentialed Access

Chest X-ray Dataset with Lung Segmentation

Wimukthi Indeewara, Mahela Hennayake, Kasun Rathnayake, et al.

Chest X-ray(CXR) images are prominent among medical images and are commonly administered in emergency diagnosis and treatment corresponding to cardiac and respiratory diseases. Though there are robust solutions available for medical diagnosis, valid…
Published: Feb. 8, 2023. Version: 1.0.0
Database Credentialed Access

MIMIC-CXR-Ext-MIMIC-CXR-DB: Linking MIMIC-IV Chest Radiographs with Rich and Harmonized Clinical Context

Houcemeddine Turki, Lukman Ismaila, Ahmed Ben Salem, et al.

MIMIC-CXR-DB is a relational clinical database comprising 146,333 chest radiographs linked to hospital admissions, designed to support research at the intersection of electronic health records (EHRs) and chest radiography. The database integrates ho…
Published: Oct. 1, 2026. Version: 1.0
Database Restricted Access

REFLACX: Reports and eye-tracking data for localization of abnormalities in chest x-rays

Ricardo Bigolin Lanfredi, Mingyuan Zhang, William Auffermann, et al.

Labels localizing anomalies are rare in current chest x-rays datasets. We collected a dataset, using a method that can potentially be scaled up, to be a proof-of-concept for collecting implicit localization data through an eye-tracker. This dataset,…
Published: Sept. 27, 2021. Version: 1.0.0
Database Credentialed Access

CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays

Hyungyung Lee, Geon Choi, Jung Oh Lee, et al.

Recent progress in Large Vision-Language Models (LVLMs) has enabled promising applications in medical tasks such as report generation and visual question answering. However, existing benchmarks focus mainly on the final diagnostic answer, offering l…
Published: Oct. 23, 2025. Version: 1.0.1
Challenge Credentialed Access

CXR-LT: Multi-Label Long-Tailed Classification on Chest X-Rays

Gregory Holste, Mingquan Lin, Song Wang, et al.

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…
Published: March 19, 2025. Version: 2.0.0
Database Restricted Access

Dataset for Segmentation and Classification of Cardiac Implantable Electronic Devices in Chest X-Rays

Keno Bressem, Felix Busch, Andrei Zhukov, et al.

This dataset encompasses a comprehensive collection of 2,321 chest radiographs (originally DICOM, converted to PNG) and 11,072 smartphone images documenting various cardiac implantable electronic devices (CIEDs) such as implantable pacemakers, cardi…
Published: March 4, 2025. Version: 1.0.0
Database Restricted Access

LATTE-CXR: Locally Aligned TexT and imagE, Explainable dataset for Chest X-Rays

Elham Ghelichkhan, Tolga Tasdizen

Local annotation of medical data is both expensive and time-consuming due to the high cost of expert annotators, the precision required for accurate annotation, and the inherent challenges of medical diagnosis. To address these problems, we develop…
Published: Feb. 4, 2025. Version: 1.0.0
Database Open Access

CheXmask Database: a large-scale dataset of anatomical segmentation masks for chest x-ray images

Nicolas Gaggion, Candelaria Mosquera, Martina Aineseder, et al.

The CheXmask Database presents a comprehensive, uniformly annotated collection of chest radiographs, constructed from five public databases: ChestX-ray8, Chexpert, MIMIC-CXR-JPG, Padchest and VinDr-CXR. The database aggregates 657,566 anatomical seg…
Published: Jan. 22, 2025. Version: 1.0.0
Database Contributor Review

Chest Computed Tomography for patients with sepsis in the Emergency Department

Senjun Jin, Zhongheng Zhang

Sepsis is a systematic inflammatory response syndrome that can impact all vital organs. Lung is the most commonly involved organ that sepsis can cause lung injury. Lung injury can have a variety clinical presentations and can be captured by chest im…
Published: Oct. 28, 2024. Version: 1.0.0