Classification of cardioembolic stroke based on a deep neural network using chest radiographs

Classification of cardioembolic stroke based on a deep neural network using chest radiographs

Background: Although chest radiographs have not been utilised well for classifying stroke subtypes, they could provide a plethora of information on cardioembolic stroke.This study aimed to develop a deep convolutional neural network that could diagnose cardioembolic stroke based on chest radiographs...

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Bibliographic Details
Main Authors: Han-Gil Jeong, Beom Joon Kim, Tackeun Kim, Jihoon Kang, Jun Yup Kim, Joonghee Kim, Joon-Tae Kim, Jong-Moo Park, Jae Guk Kim, Jeong-Ho Hong, Kyung Bok Lee, Tai Hwan Park, Dae-Hyun Kim, Chang Wan Oh, Moon-Ku Han, Hee-Joon Bae
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:EBioMedicine
Subjects:
Stroke
Chest radiograph
Deep learning
Cardioembolism
Classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396421002590

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http://www.sciencedirect.com/science/article/pii/S2352396421002590

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