Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network
出版年份 2021 全文链接
标题
Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network
作者
关键词
Coronavirus, COVID-19, Chest X-ray, Region homogeneity, Edge, Convolutional neural network, Transfer learning
出版物
Photodiagnosis and Photodynamic Therapy
Volume 35, Issue -, Pages 102473
出版商
Elsevier BV
发表日期
2021-08-02
DOI
10.1016/j.pdpdt.2021.102473
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
- (2021) Ali Narin et al. PATTERN ANALYSIS AND APPLICATIONS
- A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images
- (2021) Anabia Sohail et al. Scientific Reports
- Combination of RT‐qPCR Testing and Clinical Features For Diagnosis of COVID‐19 facilitates management of SARS‐CoV‐2 Outbreak
- (2020) Yishan Wang et al. JOURNAL OF MEDICAL VIROLOGY
- 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
- A survey of the recent architectures of deep convolutional neural networks
- (2020) Asifullah Khan et al. ARTIFICIAL INTELLIGENCE REVIEW
- COVID-19 and Multiorgan Response
- (2020) Sevim Zaim et al. CURRENT PROBLEMS IN CARDIOLOGY
- TRANSMISSION DYNAMICS AND CONTROL STRATEGIES OF COVID-19 IN WUHAN, CHINA
- (2020) LIUYONG PANG et al. JOURNAL OF BIOLOGICAL SYSTEMS
- Diagnostic Performance of Chest X-Ray for COVID-19 Pneumonia During the SARS-CoV-2 Pandemic in Lombardy, Italy
- (2020) Simone Schiaffino et al. JOURNAL OF THORACIC IMAGING
- Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
- (2020) Xueyan Mei et al. NATURE MEDICINE
- COVID-19 outbreak in Italy: experimental chest X-ray scoring system for quantifying and monitoring disease progression
- (2020) Andrea Borghesi et al. Radiologia Medica
- COVID-19 pneumonia: A review of typical CT findings and differential diagnosis
- (2020) C. Hani et al. Diagnostic and Interventional Imaging
- Scientific and ethical basis for social-distancing interventions against COVID-19
- (2020) Joseph A Lewnard et al. LANCET INFECTIOUS DISEASES
- Molecular diagnostic technologies for COVID-19: Limitations and challenges
- (2020) Adeel Afzal Journal of Advanced Research
- COVID-19 infection: Origin, transmission, and characteristics of human coronaviruses
- (2020) Muhammad Adnan Shereen et al. Journal of Advanced Research
- Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
- (2020) Shervin Minaee et al. MEDICAL IMAGE ANALYSIS
- 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
- COVID-19: Beyond the virus. The use of photodynamic therapy for the treatment of infections in the respiratory tract
- (2020) Lucas D. Dias et al. Photodiagnosis and Photodynamic Therapy
- Mitosis detection in breast cancer histopathology images using hybrid feature space
- (2020) Noorulain Maroof et al. Photodiagnosis and Photodynamic Therapy
- Chest x-ray findings and temporal lung changes in patients with COVID-19 pneumonia
- (2020) Liqa A. Rousan et al. BMC Pulmonary Medicine
- Fourier transform infrared spectroscopy combined with deep learning and data enhancement for quick diagnosis of abnormal thyroid function
- (2020) Feilong Yue et al. Photodiagnosis and Photodynamic Therapy
- Antiviral photodynamic therapy: Inactivation and inhibition of SARS-CoV-2 in vitro using methylene blue and Radachlorin
- (2020) Victor A. Svyatchenko et al. Photodiagnosis and Photodynamic Therapy
- Transfer learning based deep CNN for segmentation and detection of mitoses in breast cancer histopathological images
- (2019) Noorul Wahab et al. Microscopy
- Multi-label transfer learning for the early diagnosis of breast cancer
- (2019) Hiba Chougrad et al. NEUROCOMPUTING
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