COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images

24 March 2020

Papers citing "COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images"

6 / 6 papers shown

Title
COVID-19 Classification Using Deep Learning Two-Stage Approach Mostapha Alsaidi Ali Salem Altaher M. T. Jan Ahmed Altaher Zahra Salekshahrezaee 22 2 0 28 Nov 2022
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image Lucy Nwosu Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 19 3 0 27 May 2022
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost H. Nasiri Sharif Hasani 37 74 0 03 Sep 2021
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability D. Nguyen F. Kay Jun Tan Yulong Yan Y. Ng P. Iyengar R. Peshock Steve B. Jiang OOD 18 26 0 18 Feb 2021
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images J. E. Arco A. Ortiz J. Ramírez Francisco J. Martínez-Murcia Yudong Zhang Juan M Gorriz UQCV 8 3 0 27 Nov 2020
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches Sarfaraz Hussein Pujan Kandel C. Bolan Michael B. Wallace Ulas Bagci 86 218 0 10 Jan 2018