论文信息 - COVID Detection from Chest X-rays with DeepLearning: CheXNet

COVID Detection from Chest X-rays with DeepLearning: CheXNet

The novel corona virus is a rapidly spreading viral infection that has become a pandemic posing severe threats around the world. It is necessary to identify the cases priorly so that we can prevent the spread of this epidemic. But the availability of test kits is low which is main drawback. To overcome this AI is assistive and even used in COVID detection and prediction. A model for COVID prediction from chest X-rays using CheXNet is presented in this paper. This proposed model classifies the binary classes (COVID and normal) with 99.9% accuracy. CheXNet is a CNN model that used ChestXray14 dataset and was trained to detect abnormalities in chest X-rays. Generally, this model was extended to detect all the 14 pathologies in chestXray14 dataset. We used it’s pre trained model Densenet121 in our model to detect COVID19 from binary classes.

[1] Joseph Paul Cohen,et al. COVID-19 Image Data Collection , 2020, ArXiv.

[2] U. Rajendra Acharya,et al. Automated detection of COVID-19 cases using deep neural networks with X-ray images , 2020, Computers in Biology and Medicine.

[3] 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.

[4] Ali Narin,et al. Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks , 2020, Pattern Analysis and Applications.

[5] Mario Arturo Ruiz Estrada. The Uses of Drones in Case of Massive Epidemics Contagious Diseases Relief Humanitarian Aid: Wuhan-COVID-19 Crisis , 2020 .

[6] Andrew Y. Ng,et al. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning , 2017, ArXiv.

[7] Ming Cheng,et al. Predict pneumonia with chest X-ray images based on convolutional deep neural learning networks , 2020, J. Intell. Fuzzy Syst..