Diagnosis of Pneumonia from Chest X-Ray Images Using Deep Learning
By Enes Ayan, Halil Murat Ünver. 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT), 2019
315 citations recorded by the source corpus.
Pneumonia is a disease which occurs in the lungs caused by a bacterial infection. Early diagnosis is an important factor in terms of the successful treatment process. Generally, the disease can be diagnosed from chest X-ray images by an expert radiologist. The diagnoses can be subjective for some reasons such as the appearance of disease which can be unclear in chest X-ray images or can be confused with other diseases. Therefore, computer-aided diagnosis systems are needed to guide the clinicians. In this study, we used two well-known convolutional neural network models Xception and Vgg16 for diagnosing of pneumonia. We used transfer learning and fine-tuning in our training stage. The test results showed that Vgg16 network exceed Xception network at the accuracy with 0.87%, 0.82% respectively. However, the Xception network achieved a more successful result in detecting pneumonia cases. As a result, we realized that every network has own special capabilities on the same dataset.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/041490e8c3349b95d162152bdd57f7d889f5c23f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Nour Eldeen M. Khalifa
- Mohamed Loey
- D. Jude Hemanth
- Tawsifur Rahman
- Meenu Gupta
- Soham Taneja
- Amith Abdullah Khandakar
- Florentin Smarandache
In Computer Vision and Pattern Recognition
- D. Jude Hemanth
- Muhammad Abdul Kadir
- Tawsifur Rahman
- Khandaker F. Islam
- Khandaker Reajul Islam
- Meenu Gupta
- Soham Taneja
- Amith Abdullah Khandakar
In Radiology, Nuclear Medicine and Imaging
- Nour Eldeen M. Khalifa
- Mohamed Loey
- D. Jude Hemanth
- Muhammad Abdul Kadir
- Tawsifur Rahman
- Khandaker F. Islam
- Khandaker Reajul Islam
- Meenu Gupta
Citations in the corpus
- Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray (2020, background): “Several research groups [1, 12-25] have reported the use of deep machine learning algorithms in the detection of pneumonia, however only an article [16] has reported the classification of bacterial and viral pneumonia.”
- Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning (2020, background): “In [45], the Authors introduced an early diagnosis system from Pneumonia chest X-ray images based on Xception and VGG16.”
- Deep learning based detection and analysis of COVID-19 on chest X-ray images (2020, background): “The authors gave an analysis of the treatment of infected persons with chest X-rays [22].”