Reliable Learning with PDE-Based CNNs and DenseNets for Detecting COVID-19, Pneumonia, and Tuberculosis from Chest X-Ray Images
暂无分享,去创建一个
Radu Razvan Slavescu | Adrian Groza | Camelia-M. Pintea | Anca Marginean | Delia Doris Muntean | George Adrian Muntean | Adelina Priscu | Calin Lucian Timbus | Gabriel Zeno Munteanu | Cezar Octavian Morosanu | Maria Margareta Cosnarovici | Adrian Groza | Camelia-M. Pintea | C. Morosanu | A. Marginean | M. Cosnarovici | Calin Timbus | D. Muntean | A. Priscu | R. R. Slavescu | G. Muntean
[1] Joseph Paul Cohen,et al. COVID-19 Image Data Collection , 2020, ArXiv.
[2] Shi Qiu,et al. The ensemble deep learning model for novel COVID-19 on CT images , 2020, Applied Soft Computing.
[3] Mamun Bin Ibne Reaz,et al. Can AI Help in Screening Viral and COVID-19 Pneumonia? , 2020, IEEE Access.
[4] Jon Kleinberg,et al. Transfusion: Understanding Transfer Learning for Medical Imaging , 2019, NeurIPS.
[5] Phillip M Cheng,et al. Tackling the Radiological Society of North America Pneumonia Detection Challenge. , 2019, AJR. American journal of roentgenology.
[6] Eldad Haber,et al. Deep Neural Networks Motivated by Partial Differential Equations , 2018, Journal of Mathematical Imaging and Vision.
[7] Bram van Ginneken,et al. COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System , 2020, Radiology.
[8] F. Pfeiffer,et al. Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization , 2019, Scientific Reports.
[9] Stefan Jaeger,et al. Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. , 2014, Quantitative imaging in medicine and surgery.
[10] Michael H. Goldbaum,et al. Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification , 2018 .
[11] Yifan Yu,et al. CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison , 2019, AAAI.
[12] B. Hamm,et al. Comparing different deep learning architectures for classification of chest radiographs , 2020, Scientific Reports.
[13] Alexander Wong,et al. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images , 2020, Scientific reports.
[14] Jose Ruiz-Pinales,et al. Transfer Learning for Stenosis Detection in X-ray Coronary Angiography , 2020, Mathematics.
[15] Jan Sölter,et al. On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets , 2020, ArXiv.
[16] Juan Eduardo Luján-García,et al. Fast COVID-19 and Pneumonia Classification Using Chest X-ray Images , 2020, Mathematics.
[17] Wenjie Yang,et al. Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, China , 2020, Journal of Infection.