Sequence-Type Classification of Brain MRI for Acute Stroke Using a Self-Supervised Machine Learning Algorithm

We propose a self-supervised machine learning (ML) algorithm for sequence-type classification of brain MRI using a supervisory signal from DICOM metadata (i.e., a rule-based virtual label). A total of 1787 brain MRI datasets were constructed, including 1531 from hospitals and 256 from multi-center t...

Full description

Bibliographic Details
Main Authors: Seongwon Na, Yousun Ko, Su Jung Ham, Yu Sub Sung, Mi-Hyun Kim, Youngbin Shin, Seung Chai Jung, Chung Ju, Byung Su Kim, Kyoungro Yoon, Kyung Won Kim
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/14/1/70