Resources


Database Credentialed Access

FDTooth: Intraoral Photographs and Cone-Beam Computed Tomography Images for Fenestration and Dehiscence Detection

Yanqi Yang, Xiaomeng LI, Keyuan Liu, Marawan Elbatel

FDTooth is a dataset containing intraoral photographs and cone-beam computed tomography (CBCT) images with annotations for automated detection of fenestration and dehiscence in anterior teeth.

Published: May 5, 2025. Version: 1.0.0

Database Contributor Review

Chest Computed Tomography for patients with sepsis in the Emergency Department

Senjun Jin, Zhongheng Zhang

The database is intended to support a wide array of research studies involving radiomics in sepsis patients, helping to reduce barriers to the reproducibility of clinical research.

sepsis

Published: Oct. 28, 2024. Version: 1.0.0

Database Restricted Access

Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation

Murtadha Hssayeni

Head computed tomography (CT) scans with intracranial hemorrhage (ICH) segmentation, ICH subtypes and skull fracture.

computed tomography nifti skull fracture ich intracranial hemmorhage ct scans segmentation

Published: March 10, 2020. Version: 1.3.1

Database Restricted Access

Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation

Murtadha Hssayeni

Head computed tomography (CT) scans with intracranial hemorrhage (ICH) segmentation, ICH subtypes and skull fracture.

computed tomography nifti skull fracture ich intracranial hemmorhage ct scans segmentation

Published: March 10, 2020. Version: 1.3.1

Database Credentialed Access

PIFIR: PET-CT Invasive Fungal Infection Reports

Vlada Rozova, Anna Khanina, Jeremy Ong, Ramin Alipour, Leon Worth, Monica Slavin, Karin Thursky, Karin Verspoor

A corpus of PET-CT reports annotated for terminology relevant to fungal infections. Ideal for validation of named entity recognition and relation extraction methods.

nlp clinical documentation information extraction invasive fungal infections

Published: Feb. 27, 2025. Version: 1.0.0

Database Contributor Review

COVID Data for Shared Learning (CDSL): A comprehensive, multimodal COVID-19 dataset from HM Hospitales

Álvaro Ritoré, Andreea M Oprescu, Alberto Estirado Bronchalo, Miguel Ángel Armengol de la Hoz

COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified structured health data and radiological images from 4,479 patients with COVID-19, as a comprehensive toolkit for developing predictive models.

covid-19 multimodal database radiological images open data healthcare data machine learning and ai

Published: Oct. 25, 2024. Version: 1.0.0

Database Contributor Review

A multimodal dental dataset facilitating machine learning research and clinic services

Wenjing Liu, Yunyou Huang, Suqin Tang

A new dental dataset that contains 169 patients, three commonly used dental image models, and images of various health conditions of the oral cavity.

Published: Oct. 11, 2024. Version: 1.1.0