标题
Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays
作者
关键词
COVID-19, X-ray, Deep-learning, Multi-expert systems, Optimization, Convolutional neural networks
出版物
PATTERN RECOGNITION
Volume 121, Issue -, Pages 108242
出版商
Elsevier BV
发表日期
2021-08-10
DOI
10.1016/j.patcog.2021.108242
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。- Multi-task Contrastive Learning for Automatic CT and X-ray Diagnosis of COVID-19
- (2021) Jinpeng Li et al. PATTERN RECOGNITION
- BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
- (2021) Alberto Signoroni et al. MEDICAL IMAGE ANALYSIS
- AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
- (2021) Paolo Soda et al. MEDICAL IMAGE ANALYSIS
- Detecting pulmonary diseases using deep features in X-ray images
- (2021) Pablo Vieira et al. PATTERN RECOGNITION
- Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
- (2021) Weronika Hryniewska et al. PATTERN RECOGNITION
- COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention Network
- (2021) Yuqi Fan et al. PATTERN RECOGNITION
- Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
- (2020) Yicheng Fang et al. RADIOLOGY
- Real-time RT-PCR in COVID-19 detection: issues affecting the results
- (2020) Alireza Tahamtan et al. EXPERT REVIEW OF MOLECULAR DIAGNOSTICS
- Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning
- (2020) Mohamed Loey et al. Symmetry-Basel
- COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
- (2020) Mesut Toğaçar et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automated detection of COVID-19 cases using deep neural networks with X-ray images
- (2020) Tulin Ozturk et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Diagnostic Value of Imaging Modalities for COVID-19: A Literature Review (Preprint)
- (2020) Rowa Aljondi et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays
- (2020) Zheng Wang et al. PATTERN RECOGNITION
- MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
- (2020) Mohammad Shorfuzzaman et al. PATTERN RECOGNITION
- 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
- Chest imaging representing a COVID-19 positive rural U.S. population
- (2020) Shivang Desai et al. Scientific Data
- Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
- (2018) Daniel S. Kermany et al. CELL
- Multimodal Machine Learning: A Survey and Taxonomy
- (2018) Tadas Baltrusaitis et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Recent advances in convolutional neural networks
- (2018) Jiuxiang Gu et al. PATTERN RECOGNITION
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
- (2017) Waseem Rawat et al. NEURAL COMPUTATION
- Combining diversity measures for ensemble pruning
- (2016) George D.C. Cavalcanti et al. PATTERN RECOGNITION LETTERS
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