Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography

Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography

The accurate localization and classification of lung abnormalities from radiological images are important for clinical diagnosis and treatment strategies. However, multilabel classification, wherein medical images are interpreted to point out multiple existing or suspected pathologies, presents prac...

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Bibliographic Details
Main Authors: Thi Kieu Khanh Ho, Jeonghwan Gwak
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Applied Sciences
Subjects:
chestx-ray14
multiple feature integration
shallow features
deep features
convolutional neural network
pretrained model
Online Access:https://www.mdpi.com/2076-3417/9/19/4130

Internet

https://www.mdpi.com/2076-3417/9/19/4130

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