Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data

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

(2020) Heshui Shi et al.   LANCET INFECTIOUS DISEASES

Coronavirus Disease 2019 (COVID-19): A Perspective from China

(2020) Zi Yue Zu et al.   RADIOLOGY

A role for CT in COVID-19? What data really tell us so far

(2020) Michael D Hope et al.   LANCET

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society

(2020) Geoffrey D. Rubin et al.   RADIOLOGY

Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19

(2020) Ho Yuen Frank Wong et al.   RADIOLOGY

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

(2016) Marios Anthimopoulos et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Generic Approach to Pathological Lung Segmentation

(2014) Awais Mansoor et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration

(2013) Sema Candemir et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING