Author: Rahul Kumar; Ridhi Arora; Vipul Bansal; Vinodh J Sahayasheela; Himanshu Buckchash; Javed Imran; Narayanan Narayanan; Ganesh N Pandian; Balasubramanian Raman
Title: Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers Document date: 2020_4_17
ID: 59ghorzf_6
Snippet: In another study, Sethy et al. 21 used chest x-ray images to recognize COVID viral infection, firstly they have extracted deep features using CNN based on pre-trained ImageNETand at the last layer SVM were used in order to classify it. In addition, Wang et al. 16 presented multi-class classification, deep convolutional neural network architecture named as COVID-Net implemented over 16, 756 chest radiography images that have been scanned with 13,6.....
Document: In another study, Sethy et al. 21 used chest x-ray images to recognize COVID viral infection, firstly they have extracted deep features using CNN based on pre-trained ImageNETand at the last layer SVM were used in order to classify it. In addition, Wang et al. 16 presented multi-class classification, deep convolutional neural network architecture named as COVID-Net implemented over 16, 756 chest radiography images that have been scanned with 13,645 patient to classify the COVID-19 and non-COVID also with a safe and bacterial infected patient.
Search related documents:
Co phrase search for related documents- chest radiography and deep feature: 1, 2, 3
- chest radiography and infected patient: 1, 2
- chest radiography and multi class classification: 1
- chest radiography and neural network: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29
- chest radiography and neural network architecture: 1, 2
- chest radiography and viral infection: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
- chest radiography image and infected patient: 1
- chest radiography image and neural network: 1, 2
- classify order and deep feature: 1
- classify order and multi class classification: 1
- classify order and neural network: 1, 2, 3
- COVID viral infection and deep feature: 1, 2
- COVID viral infection and infected patient: 1
- COVID viral infection and multi class classification: 1
- COVID viral infection and neural network: 1, 2, 3, 4, 5, 6, 7
- COVID viral infection and non covid classify: 1
- COVID viral infection and viral infection: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75
- deep feature and multi class classification: 1, 2
- deep feature and neural network: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55
Co phrase search for related documents, hyperlinks ordered by date