COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19

19 June 2020

Papers citing "COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19"

6 / 6 papers shown

Title
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection Shunjie Dong Qianqian Yang Yu Fu Mei Tian Cheng Zhuo OOD 25 42 0 22 Feb 2021
Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network Xiao Qi L. G. Brown D. Foran I. Hacihaliloglu 23 51 0 06 Nov 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 51 178 0 16 Jul 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images Delong Chen Shunhui Ji Fan Liu Zewen Li Xinyu Zhou MedIm 32 11 0 09 Jun 2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images E. E. Hemdan M. Shouman Mohamed E. Karar 88 1,014 0 24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 80 1,762 0 24 Mar 2020