Thyroid Ultrasound-Image Dataset.
Computer-Aided Diagnosis
Sonography
TIRADS
Thyroid
Journal
Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582
Informations de publication
Date de publication:
25 May 2022
25 May 2022
Historique:
entrez:
25
5
2022
pubmed:
26
5
2022
medline:
27
5
2022
Statut:
ppublish
Résumé
Thyroid Computer-Aided Diagnosis (CAD) systems have been developed to assist radiologists in improving efficiency, reliability, and diagnosis performance. Often the performance of these CAD systems is evaluated with different datasets that make it incomparable. A valuable thyroid ultrasound (US) dataset is presented in this work. This dataset consists of 2450 thyroid US images from 2018 to 2020 in Prospective Epidemiological Research Studies in Mashhad, Iran (PERSIAN), a large national cohort study. These US images have the ROI of thyroid nodules and the associated American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TIRADS) features by expert physicians provided in XML format. Dataset's images are categorized into five groups based on the ACR-TIRADS (Tirads1-Tirads5). The presented dataset is expected to be a valuable resource to develop and assess thyroid CAD systems to help radiologists better diagnose.
Identifiants
pubmed: 35612104
pii: SHTI220482
doi: 10.3233/SHTI220482
doi:
Types de publication
Journal Article
Langues
eng