Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset
Authors
Keywords
-
Journal
PeerJ Computer Science
Volume 7, Issue -, Pages e614
Publisher
PeerJ
Online
2021-08-03
DOI
10.7717/peerj-cs.614
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- COVID-19: a new deep learning computer-aided model for classification
- (2021) Omar M. Elzeki et al. PeerJ Computer Science
- Role of Hybrid Deep Neural Networks (HDNNs), Computed Tomography, and Chest X-rays for the Detection of COVID-19
- (2021) Muhammad Irfan et al. International Journal of Environmental Research and Public Health
- Updated understanding of the outbreak of 2019 novel coronavirus (2019‐nCoV) in Wuhan, China
- (2020) Weier Wang et al. JOURNAL OF MEDICAL VIROLOGY
- The reproductive number of COVID-19 is higher compared to SARS coronavirus
- (2020) Ying Liu et al. JOURNAL OF TRAVEL MEDICINE
- Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
- (2020) Chaolin Huang et al. LANCET
- Coronavirus (COVID-19) Outbreak: What the Department of Radiology Should Know
- (2020) Soheil Kooraki et al. Journal of the American College of Radiology
- Pathological findings of COVID-19 associated with acute respiratory distress syndrome
- (2020) Zhe Xu et al. Lancet Respiratory Medicine
- Coronavirus Disease (COVID-19): Spectrum of CT Findings and Temporal Progression of the Disease
- (2020) Mingzhi Li et al. ACADEMIC RADIOLOGY
- Clinical Characteristics of COVID-19 Patients With Digestive Symptoms in Hubei, China
- (2020) Lei Pan et al. AMERICAN JOURNAL OF GASTROENTEROLOGY
- Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?
- (2020) Chunqin Long et al. EUROPEAN JOURNAL OF RADIOLOGY
- Radiographic findings in 240 patients with COVID-19 pneumonia: time-dependence after the onset of symptoms
- (2020) Sergio Giuseppe Vancheri et al. EUROPEAN RADIOLOGY
- Detection of SARS-CoV-2 in Different Types of Clinical Specimens
- (2020) Wenling Wang et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Using X-ray images and deep learning for automated detection of coronavirus disease
- (2020) Khalid El Asnaoui et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- The clinical characteristics of myocardial injury in severe and very severe patients with 2019 novel coronavirus disease
- (2020) Bo Zhou et al. JOURNAL OF INFECTION
- Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic
- (2020) Elissa Driggin et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Cutaneous manifestations in COVID‐19: a first perspective
- (2020) S. Recalcati JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY
- Mediastinal lymphadenopathy in patients with severe COVID-19
- (2020) Xavier Valette et al. LANCET INFECTIOUS DISEASES
- 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
- Rapid viral diagnosis and ambulatory management of suspected COVID-19 cases presenting at the infectious diseases referral hospital in Marseille, France, - January 31st to March 1st, 2020: A respiratory virus snapshot
- (2020) Sophie Amrane et al. Travel Medicine and Infectious Disease
- Automated detection of COVID-19 cases using deep neural networks with X-ray images
- (2020) Tulin Ozturk et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Extrapulmonary manifestations of COVID-19: Radiologic and clinical overview
- (2020) Shima Behzad et al. CLINICAL IMAGING
- Data in the time of COVID-19: a general methodology to select and secure a NoSQL DBMS for medical data
- (2020) Kamal A. ElDahshan et al. PeerJ Computer Science
- COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach
- (2020) Miodrag Zivkovic et al. Sustainable Cities and Society
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started