Attention-Based Transfer Learning for Efficient Pneumonia Detection in Chest X-ray Images
Pneumonia is a form of acute respiratory infection commonly caused by germs, viruses, and fungi, and can prove fatal at any age. Chest X-rays is the most common technique for diagnosing pneumonia. There have been several attempts to apply transfer learning based on a Convolutional Neural Network to...
Main Authors: | So-Mi Cha, Seung-Seok Lee, Bonggyun Ko |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/3/1242 |
Similar Items
-
Chest x-ray findings and outcomes of children with suspected ventilator .. associated pneumonia
by: Neni Sumarni, et al.
Published: (2012-08-01) -
The diagnosis of pneumonia requires a chest radiograph (x-ray) – yes, no or sometimes?
by: Dan Gower Wootton, et al.
Published: (2014-06-01) -
Comparison of chest X-ray with lung ultrasound in the diagnosis of pneumonia in children aged 02 months to 12 years
by: Mudassar Sharif, et al.
Published: (2021-03-01) -
Analysis of Separability of COVID-19 and Pneumonia in Chest X-ray Images by Means of Convolutional Neural Networks
by: Joaquim de Moura, et al.
Published: (2020-08-01) -
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-Ray
by: Tawsifur Rahman, et al.
Published: (2020-05-01)