Researching | Classification of Pneumonia Images Based on Improved VGG19 Convolutional Neural Network（Invited）

Journals >Acta Photonica Sinica >Volume 50 >Issue 10 >Page 1010001 > Article

Acta Photonica Sinica
Vol. 50, Issue 10, 1010001 (2021)

Classification of Pneumonia Images Based on Improved VGG19 Convolutional Neural Network（Invited）

Feng XIONG¹, Di HE¹, Yujie LIU¹, Meijie QI¹, Peng GAO¹, Zhoufeng ZHANG^2、*, and Lixin LIU^1、2、*

Author Affiliations

¹School of Physics and Optoelectronic Engineering，Xidian University，Xi'an 710071，China

²CAS Key Laboratory of Spectral Imaging Technology，Xi'an Institute of Optics and Precision Mechanics，Chinese Academy of Sciences，Xi'an 710119，China

show less

DOI: 10.3788/gzxb20215010.1010001 Cite this Article

Feng XIONG, Di HE, Yujie LIU, Meijie QI, Peng GAO, Zhoufeng ZHANG, Lixin LIU. Classification of Pneumonia Images Based on Improved VGG19 Convolutional Neural Network（Invited）[J]. Acta Photonica Sinica, 2021, 50(10): 1010001 Copy Citation Text

show less

References

[1] K D KOCHANEK, J XU, E ARIAS. Mortality in the United States, 2019. NCHS Data Brief, 395, 1-8(2020).

[2] G LITJENS, T KOOI, B E BEJNORDI et al. A survey on deep learning in medical image analysis. Medical Image Analysis, 42, 60-88(2017).

[3] A SERENER, S SERTE. Deep learning for mycoplasma pneumonia discrimination from pneumonias like COVID-19(2020).

[4] Z YUE, L MA, R ZHANG. Comparison and validation of deep learning models for the diagnosis of pneumonia. Computational Intelligence and Neuroscience, 2020, 8876798(2020).

[5] A NARIN, C KAYA, Z PAMUK. Automatic detection of coronavirus disease (covid-19) using X-ray images and deep convolutional neural networks. Pattern Analysis and Applications, 24, 1207-1220(2021).

[6] M F HASHMI, S KATIYAR, A G KESKAR et al. Efficient pneumonia detection in chest x-ray images using deep transfer learning. Diagnostics, 10, 417(2020).

[7] V CHOUHAN, S K SINGH, A KHAMPARIA et al. A novel transfer learning based approach for pneumonia detection in chest X-ray images. Applied Sciences, 10, 559(2020).

[8] S MISRA, S JEON, S LEE et al. Multi-channel transfer learning of chest X-ray images for screening of COVID-19. Electronics, 9, 1388(2020).

[9] F XIONG, D HE, Y LIU et al. Pneumonia image classification based on convolution neural network(2021).

[10] X LI, M T ORCHARD. New edge-directed interpolation. IEEE Transactions on Image Processing, 10, 1521-1527(2001).

[11] R C GONZALEZ, R E WOODS. Digital image processing(2010).

[12] G JEON. Denoising in contrast-enhanced X-ray images. Sensing and Imaging, 17, 1-14(2016).

[13] W S NOBLE. What is a support vector machine？. Nature Biotechnology, 24, 1565-1567(2006).

[14] T CHEN, C GUESTRIN. XGBoost: a scalable tree boosting system, 785-794(2016).

[15] L GENG, S ZHANG, J TONG et al. Lung segmentation method with dilated convolution based on VGG-16 network. Computer Assisted Surgery, 24, 27-33(2019).

[16] I HAMMAD, K EL-SANKARY. Impact of approximate multipliers on VGG deep learning network. IEEE Access, 6, 60438-60444(2018).

[17] D JIA, Z LI, C ZHANG. Detection of cervical cancer cells based on strong feature CNN-SVM network. Neurocomputing, 411, 112-127(2020).

[18] R SONG, T LI, Y WANG. Mammographic classification based on XGBoost and DCNN with multi features. IEEE Access, 8, 75011-75021(2020).

Figures&Tables (11)

References (18)

Copy Citation Text

Feng XIONG, Di HE, Yujie LIU, Meijie QI, Peng GAO, Zhoufeng ZHANG, Lixin LIU. Classification of Pneumonia Images Based on Improved VGG19 Convolutional Neural Network（Invited）[J]. Acta Photonica Sinica, 2021, 50(10): 1010001

Download Citation

Save the article for my favorites

Paper Information

Recommended Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology

Set citation alerts for the article

Please enter your email address