Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches
出版年份 2020 全文链接
标题
Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches
作者
关键词
-
出版物
Journal of X-Ray Science and Technology
Volume 28, Issue 5, Pages 821-839
出版商
IOS Press
发表日期
2020-08-05
DOI
10.3233/xst-200715
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak
- (2020) Shi Zhao et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- Use of Chest CT in Combination with Negative RT-PCR Assay for the 2019 Novel Coronavirus but High Clinical Suspicion
- (2020) Peikai Huang et al. RADIOLOGY
- Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
- (2020) Adam Bernheim et al. RADIOLOGY
- Detection of SARS-CoV-2 in Different Types of Clinical Specimens
- (2020) Wenling Wang et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases
- (2020) Ioannis D. Apostolopoulos et al. Journal of Medical and Biological Engineering
- Research and Development on Therapeutic Agents and Vaccines for COVID-19 and Related Human Coronavirus Diseases
- (2020) Cynthia Liu et al. ACS Central Science
- COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images
- (2020) Parnian Afshar et al. PATTERN RECOGNITION LETTERS
- Breast mass detection and diagnosis using fused features with density
- (2019) Zhiqiong Wang et al. Journal of X-Ray Science and Technology
- A comparative study of fine-tuning deep learning models for plant disease identification
- (2018) Edna Chebet Too et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia
- (2018) Anwar E. Ahmed et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- Digital radiography image denoising using a generative adversarial network
- (2018) Yuewen Sun et al. Journal of X-Ray Science and Technology
- A similarity measure method combining location feature for mammogram retrieval
- (2018) Zhiqiong Wang et al. Journal of X-Ray Science and Technology
- Denoising images of dual energy X-ray absorptiometry using non-local means filters
- (2018) Mugahed A. Al-antari et al. Journal of X-Ray Science and Technology
- Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors
- (2018) Frédéric Li et al. SENSORS
- Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination
- (2018) Ting Xiao et al. Biomed Research International
- Fuzzy genetic-based noise removal filter for digital panoramic X-ray images
- (2018) Mehravar Rafati et al. Biocybernetics and Biomedical Engineering
- Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete
- (2018) Sattar Dorafshan et al. CONSTRUCTION AND BUILDING MATERIALS
- Comparison of medical image classification accuracy among three machine learning methods
- (2018) Tomoko Maruyama et al. Journal of X-Ray Science and Technology
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
- (2017) Waseem Rawat et al. NEURAL COMPUTATION
- DeepPap: Deep Convolutional Networks for Cervical Cell Classification
- (2017) Ling Zhang et al. IEEE Journal of Biomedical and Health Informatics
- Computer Aided Detection of Cervical Cancer Using Pap Smear Images Based on Adaptive Neuro Fuzzy Inference System Classifier
- (2016) P. Sukumar et al. Journal of Medical Imaging and Health Informatics
- Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients
- (2015) Jian Chen et al. Asian Pacific Journal of Cancer Prevention
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More