Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images

Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management

(2020) Yan Li et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

COVID-19 pneumonia: what has CT taught us?

(2020) Elaine Y P Lee et al.   LANCET INFECTIOUS DISEASES

Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study

(2020) Heshui Shi et al.   LANCET INFECTIOUS DISEASES

A Deep Learning and Grad-CAM based Color Visualization Approach for Fast Detection of COVID-19 Cases using Chest X-ray and CT-Scan Images

(2020) Harsh Panwar et al.   CHAOS SOLITONS & FRACTALS

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

(2020) Ali Abbasian Ardakani et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods

(2020) Mizuho Nishio et al.   Scientific Reports

CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images

(2020) Emtiaz Hussain et al.   CHAOS SOLITONS & FRACTALS

A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks

(2020) Sergio Varela-Santos et al.   INFORMATION SCIENCES

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

(2020) Sweta Bhattacharya et al.   Sustainable Cities and Society

A deep learning-based social distance monitoring framework for COVID-19

(2020) Imran Ahmed et al.   Sustainable Cities and Society

A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images

(2018) Hyun-Jin Bae et al.   Scientific Reports