TY - JOUR
T1 - A Seven-Layer Convolutional Neural Network for Chest CT-Based COVID-19 Diagnosis Using Stochastic Pooling
AU - Zhang, Yudong
AU - Satapathy, Suresh Chandra
AU - Zhu, Li Yao
AU - Górriz, Juan Manuel
AU - Wang, Shuihua
N1 - Publisher Copyright:
© IEEE 2020.
PY - 2022/9/15
Y1 - 2022/9/15
N2 - (Aim) COVID-19 pandemic causes numerous death tolls till now. Chest CT is an effective imaging sensor system to make accurate diagnosis. (Method) This article proposed a novel seven layer convolutional neural network based smart diagnosis model for COVID-19 diagnosis (7L-CNN-CD). We proposed a 14-way data augmentation to enhance the training set, and introduced stochastic pooling to replace traditional pooling methods. (Results) The 10 runs of 10-fold cross validation experiment show that our 7L-CNN-CD approach achieves a sensitivity of 94.44±0.73, a specificity of 93.63±1.60, and an accuracy of 94.03±0.80. (Conclusion) Our proposed 7L-CNN-CD is effective in diagnosing COVID-19 in chest CT images. It gives better performance than several state-of-the-art algorithms. The data augmentation and stochastic pooling methods are proven to be effective.
AB - (Aim) COVID-19 pandemic causes numerous death tolls till now. Chest CT is an effective imaging sensor system to make accurate diagnosis. (Method) This article proposed a novel seven layer convolutional neural network based smart diagnosis model for COVID-19 diagnosis (7L-CNN-CD). We proposed a 14-way data augmentation to enhance the training set, and introduced stochastic pooling to replace traditional pooling methods. (Results) The 10 runs of 10-fold cross validation experiment show that our 7L-CNN-CD approach achieves a sensitivity of 94.44±0.73, a specificity of 93.63±1.60, and an accuracy of 94.03±0.80. (Conclusion) Our proposed 7L-CNN-CD is effective in diagnosing COVID-19 in chest CT images. It gives better performance than several state-of-the-art algorithms. The data augmentation and stochastic pooling methods are proven to be effective.
KW - Deep learning
KW - convolutional neural network
KW - data augmentation
KW - stochastic pooling; COVID-19
UR - http://www.scopus.com/inward/record.url?scp=85118596224&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2020.3025855
DO - 10.1109/JSEN.2020.3025855
M3 - Article
AN - SCOPUS:85118596224
SN - 1530-437X
VL - 22
SP - 17573
EP - 17582
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 18
ER -