COVID-XNet: A Custom Deep Learning System to Diagnose and Locate COVID-19 in Chest X-ray Images
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Title
COVID-XNet: A Custom Deep Learning System to Diagnose and Locate COVID-19 in Chest X-ray Images
Authors
Keywords
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Journal
Applied Sciences-Basel
Volume 10, Issue 16, Pages 5683
Publisher
MDPI AG
Online
2020-08-17
DOI
10.3390/app10165683
References
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Related references
Note: Only part of the references are listed.- COVID-19 and the cardiovascular system
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- (2020) Lauren M. Kucirka et al. ANNALS OF INTERNAL MEDICINE
- A Review of Coronavirus Disease-2019 (COVID-19)
- (2020) Tanu Singhal INDIAN JOURNAL OF PEDIATRICS
- The epidemiology, diagnosis and treatment of COVID-19
- (2020) Pan Zhai et al. INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS
- Stability issues of RT-PCR testing of SARS-CoV-2 for hospitalized patients clinically diagnosed with COVID-19
- (2020) Yafang Li et al. JOURNAL OF MEDICAL VIROLOGY
- A Clinical Study of Noninvasive Assessment of Lung Lesions in Patients with Coronavirus Disease-19 (COVID-19) by Bedside Ultrasound
- (2020) Wuzhu Lu et al. ULTRASCHALL IN DER MEDIZIN
- Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review
- (2020) Adam Jacobi et al. CLINICAL IMAGING
- Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images
- (2020) Javier Civit-Masot et al. Applied Sciences-Basel
- A Systematic Review of therapeutic agents for the treatment of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV)
- (2019) Hisham Momattin et al. Travel Medicine and Infectious Disease
- Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors
- (2018) Juan P. Dominguez-Morales et al. IEEE Transactions on Biomedical Circuits and Systems
- Computer-aided detection in chest radiography based on artificial intelligence: a survey
- (2018) Chunli Qin et al. Biomedical Engineering Online
- Origin and evolution of pathogenic coronaviruses
- (2018) Jie Cui et al. NATURE REVIEWS MICROBIOLOGY
- High discordance of chest x-ray and computed tomography for detection of pulmonary opacities in ED patients: implications for diagnosing pneumonia
- (2012) Wesley H. Self et al. AMERICAN JOURNAL OF EMERGENCY MEDICINE
- Performance of Radiologists in Detection of Small Pulmonary Nodules on Chest Radiographs: Effect of Rib Suppression With a Massive-Training Artificial Neural Network
- (2009) Seitaro Oda et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- "Doctor, will that x-ray harm my unborn child?"
- (2008) S. Ratnapalan et al. CANADIAN MEDICAL ASSOCIATION JOURNAL
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