论文信息 - Covid 19 Prediction from X Ray Images Using Fully Connected Convolutional Neural Network

Covid 19 Prediction from X Ray Images Using Fully Connected Convolutional Neural Network

COVID 19 pandemic has paralyzed the whole world irrespective of any discrimination. To contain the infection effective testing of people plays a vital role. Usually, chest X-ray image-based diagnosis using manual methods is carried out, which is not only time-consuming but also paves way for asymptomatic patients to transmit the virus at a faster pace. Chest X-ray image analysis using a fully connected convolutional neural network (CNN) has been proposed in this paper to solve the purpose. The fully connected CNN with two variants of convolution especially DSC has proved its efficiency in detecting COVID 19 infections.

Sayantan Chatterjee | Abhishek Kumar | Sanghamita Bhoumik | Ankur Sarkar | Ferdin Joe John Joseph

[1] Deepak Gupta,et al. CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection , 2020, IEEE Access.

[2] Tian Liu,et al. Medical Imaging Synthesis using Deep Learning and its Clinical Applications: A Review , 2020, 2004.10322.

[3] Long Jiang Zhang,et al. Coronavirus Disease 2019 (COVID-19): A Perspective from China , 2020, Radiology.

[4] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[5] Ioannis D. Apostolopoulos,et al. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks , 2020, Physical and Engineering Sciences in Medicine.