Resources

48 results for "classification"

Database Credentialed Access

Structured Viewing Classification Annotations From the MIMIC-IV-ECHO Dataset (ECHOVIEW)

Sampath Rapuri, Sofia Sapeta Dias, Maria Salomé Carvalho, et al.

The development of robust echocardiography analyses has been limited by the scarcity of well-annotated, labeled echocardiogram datasets. We introduce the Structured Viewing Classification Annotations From the MIMIC-IV-ECHO Dataset (ECHOVIEW), a deri…
Published: March 17, 2026. Version: 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
Challenge Open Access

Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020

Erick Andres Perez Alday, Annie Gu, Amit Shah, et al.

The electrocardiogram (ECG) is a non-invasive representation of the electrical activity of the heart from electrodes placed on the surface of the torso. The standard 12-lead ECG has been widely used to diagnose a variety of cardiac abnormalities suc…
Published: July 29, 2022. Version: 1.0.2 | Visualize waveforms
Database Credentialed Access

MIMIC-IV-Ext-EntityCoding: Clinical Named Entity Recognition and Assertion Classification Dataset for ICD Coding

James C Douglas, Yidong Gan, Ben Hachey, et al.

This dataset provides clinical Named Entity Recognition (NER) and Assertion Classification (AC) annotations for 400 discharge summaries from MIMIC-IV-Note (v2.2), designed to support research on computer-assisted ICD coding and related clinical natu…
Published: Sept. 23, 2026. Version: 1.0.0
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

VinDr-SpineXR: A large annotated medical image dataset for spinal lesions detection and classification from radiographs

Hieu Huy Pham, Hieu Nguyen Trung, Ha Quy Nguyen

Radiographs are used as the most critical imaging tool for identifying spine anomalies in clinical practice [1]. The evaluation of spinal bone lesions, however, is a challenging task for radiologists. To the best of our knowledge, no existing studie…
Published: Aug. 24, 2021. Version: 1.0.0
Database Restricted Access

TN-Mammo: A Multi-view Mammography Dataset for Breast Density Classification

Binh Nguyen, Cat Le, Loc Vu, et al.

Breast cancer is one of the most common types of cancer among women, leading to a growing and essential need for early and precise detection. A variety of machine learning techniques have been demonstrating great promise in improving diagnostic accu…
Published: Oct. 4, 2025. Version: 1.0.0
Database Open Access

A Pressure Map Dataset for In-bed Posture Classification

In this project, we collected in-bed posture pressure data from multiple adult participants using two different types of pressure sensing mats. To the best of our knowledge, our dataset, PmatData is the first publicly-available dataset of pressure s…
Published: Sept. 28, 2017. Version: 1.0.0
Challenge Open Access

AF Classification from a Short Single Lead ECG Recording: The PhysioNet/Computing in Cardiology Challenge 2017

The 2017 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify, from a single short ECG lead recording (between 30 s and 60 s in length), whether the recording shows normal sinus rhythm, atrial fibrillation (AF), an al…
Published: Feb. 1, 2017. Version: 1.0.0
Challenge Open Access

Classification of Heart Sound Recordings: The PhysioNet/Computing in Cardiology Challenge 2016

The 2016 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single sho…
Published: March 4, 2016. Version: 1.0.0