Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning

Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

(2020) Victor M Corman et al.   Eurosurveillance

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

(2020) Heshui Shi et al.   LANCET INFECTIOUS DISEASES

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

(2020) Yicheng Fang et al.   RADIOLOGY

Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

(2020) Tao Ai et al.   RADIOLOGY

Quantitative computed tomography analysis for stratifying the severity of Coronavirus Disease 2019

(2020) Cong Shen et al.   Journal of Pharmaceutical Analysis

Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients

(2020) Sana Salehi et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography

(2020) Kang Zhang et al.   CELL

A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis

(2020) Shuo Wang et al.   EUROPEAN RESPIRATORY JOURNAL

Artificial intelligence–enabled rapid diagnosis of patients with COVID-19

(2020) Xueyan Mei et al.   NATURE MEDICINE

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

Automated quantification of COVID-19 severity and progression using chest CT images

(2020) Jiantao Pu et al.   EUROPEAN RADIOLOGY

Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning

(2020) Hengyuan Kang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images

(2020) Jun Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

(2020) Xi Ouyang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

(2020) Guotai Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

(2020) Longxi Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

(2020) Xinggang Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

(2020) Deng-Ping Fan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

(2020) Xiaowei Xu et al.   Engineering

Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

(2020) Cheng Jin et al.   Nature Communications

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

(2020) Stephanie A. Harmon et al.   Nature Communications

Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images

(2020) Kai Gao et al.   MEDICAL IMAGE ANALYSIS

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

(2019) Diego Ardila et al.   NATURE MEDICINE

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

(2019) Li Shen et al.   Scientific Reports

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Isothermal nucleic acid amplification technologies for point-of-care diagnostics: a critical review

(2012) Pascal Craw et al.   LAB ON A CHIP