Resources

32 results for "deep learning"

Database Open Access

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation

Kenta Tsutsui, Shany Biton Brimer, Joachim Behar

Saitama Heart Database Atrial Fibrillation (SHDB-AF) is a novel open-sourced Holter ECG database from Japan, containing data from 122 unique subjects with paroxysmal atrial fibrillation. Among the 128 recordings, 98 contain raw ECG data with rhythm …
Published: April 16, 2025. Version: 1.0.1
Database Restricted Access

Endoscapes2023, A Critical View of Safety and Surgical Scene Segmentation Dataset for Laparoscopic Cholecystectomy

Pietro Mascagni, Deepak Alapatt, Aditya Murali, et al.

Minimally invasive image-guided surgery heavily relies on vision. Deep learning models for surgical video analysis can support surgeons in visual tasks such as assessing the critical view of safety (CVS) in laparoscopic cholecystectomy, potentially …
Published: Dec. 11, 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

RuMedNLI: A Russian Natural Language Inference Dataset For The Clinical Domain

Pavel Blinov, Aleksandr Nesterov, Galina Zubkova, et al.

There is a shortage of text medical resources for the Russian language. This is a substantial obstacle in state-of-the-art NLP deep learning models research and development. To mitigate this issue we translated the MedNLI data from English to Russia…
Published: April 1, 2022. Version: 1.0.0
Database Credentialed Access

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Saahil Jain, Ashwin Agrawal, Adriel Saporta, et al.

RadGraph is a dataset of entities and relations in full-text radiology reports. We designed a novel information extraction (IE) schema to structure clinical information in a radiology report with four entities and three relations. Our train set cons…
Published: June 3, 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 Open Access

Wide-field calcium imaging sleep state database

Eric Landsness, Xiaohui Zhang, Wei Chen, et al.

A collection of wide-field calcium imaging (WFCI) sleep and wake recordings collected from twelve transgenic mice expressing GCaMP6f in excitatory neurons. Each mouse underwent a three-hour undisturbed WFCI recording session where wake, REM (rapid e…
Published: March 17, 2022. Version: 1.0.1
Database Credentialed Access

MedNLI - A Natural Language Inference Dataset For The Clinical Domain

Chaitanya Shivade

State of the art models using deep neural networks have become very good in learning an accurate mapping from inputs to outputs. However, they still lack generalization capabilities in conditions that differ from the ones encountered during training…
Published: Oct. 1, 2019. 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 Open Access

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors

Li-wei Lehman, Benjamin Moody, Lucas McCullum, et al.

False arrhythmia alarms are a persistent problem in intensive care units despite considerable effort from industrial and academic algorithm developers. Among the various arrhythmias, ventricular tachycardia (VT) is particularly challenging to detect…
Published: Sept. 14, 2026. Version: 1.1 | Visualize waveforms