Evaluation of Scalability and Degree of Fine-Tuning of Deep Convolutional Neural Networks for COVID-19 Screening on Chest X-ray Images Using Explainable Deep-Learning Algorithm

Evaluation of Scalability and Degree of Fine-Tuning of Deep Convolutional Neural Networks for COVID-19 Screening on Chest X-ray Images Using Explainable Deep-Learning Algorithm

According to recent studies, patients with COVID-19 have different feature characteristics on chest X-ray (CXR) than those with other lung diseases. This study aimed at evaluating the layer depths and degree of fine-tuning on transfer learning with a deep convolutional neural network (CNN)-based COV...

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Bibliographic Details
Main Authors: Ki-Sun Lee, Jae Young Kim, Eun-tae Jeon, Won Suk Choi, Nan Hee Kim, Ki Yeol Lee
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Journal of Personalized Medicine
Subjects:
COVID-19
chest X-ray
deep learning
convolutional neural network
Grad-CAM
Online Access:https://www.mdpi.com/2075-4426/10/4/213

Internet

https://www.mdpi.com/2075-4426/10/4/213

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