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The newly identified Coronavirus pneumonia, subsequently termed COVID-19, is highly transmittable and pathogenic with no clinically approved antiviral drug or vaccine available for treatment.
Induction of decision trees,
J. R. Quinlan, · 1986
Earlier work this paper cites.
A desicion-theoretic generalization of on-line learning and an application to boosting,
Y. Freund, R. E. Schapire, · 1995
Earlier work this paper cites.
Bagging predictors,
L. Breiman, · 1996
Earlier work this paper cites.
N. Cristianini, J. Shawe-Taylor, et al., An introduction to support vector machines and other kernel-based learning methods, Cambridge university press, 2000
2000
Earlier work this paper cites.
Random forests,
L. Breiman, · 2001
Earlier work this paper cites.
A theoretical analysis of feature pooling in visual recognition,
Y.-L. Boureau, J. Ponce, Y. LeCun, · 2010
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks,
A. Krizhevsky, I. Sutskever, G. E. Hinton, · 2012
Earlier work this paper cites.
Deep learning for visual understanding: A review,
Y. Guo, Y. Liu, A. Oerlemans, S. Lao, S. Wu, M. S. Lew, · 2016
Earlier work this paper cites.
XGBoost,
T. Chen, C. Guestrin, · 2016
Earlier work this paper cites.
Lightgbm: A highly efficient gradient boosting decision tree,
G. Ke, Q. Meng, T. Finley, T. Wang, W. Chen, W. Ma, Q. Ye, T.-Y. Liu, · 2017
Earlier work this paper cites.
Deep convolutional neural networks for breast cancer histology image analysis,
A. Rakhlin, A. Shvets, V. Iglovikov, A. A. Kalinin, · 2018
Earlier work this paper cites.
Breast cancer histology images classification: Training from scratch or transfer learning?,
R. Mehra, et al., · 2018
Earlier work this paper cites.
WHO, Coronavirus disease (COVID-19) Pandemic, 2020. URL: https://www.who.int/emergencies/diseases/novel-coronavirus-2019
2019
Earlier work this paper cites.
Breast cancer diagnosis with transfer learning and global pooling,
S. H. Kassani, P. H. Kassani, M. J. Wesolowski, K. A. Schneider, R. Deters, · 2019
Earlier work this paper cites.
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning,
S. Khan, N. Islam, Z. Jan, I. U. Din, J. J. C. Rodrigues, · 2019
Earlier work this paper cites.
Pathological brain detection based on alexnet and transfer learning,
S. Lu, Z. Lu, Y.-D. Zhang, · 2019
Cited alongside, same era.
Classification of histopathological biopsy images using ensemble of deep learning networks,
S. H. Kassani, P. H. Kassani, M. J. Wesolowski, K. A. Schneider, R. Deters, · 2019
Cited alongside, same era.
A novel scene classification model combining resnet based transfer learning and data augmentation with a filter,
S. Liu, G. Tian, Y. Xu, · 2019
Cited alongside, same era.
Decision fusion-based fetal ultrasound image plane classification using convolutional neural networks,
P. Sridar, A. Kumar, A. Quinton, R. Nanan, J. Kim, R. Krishnakumar, · 2019
Cited alongside, same era.
Automated identification and grading system of diabetic retinopathy using deep neural networks,
W. Zhang, J. Zhong, S. Yang, Z. Gao, J. Hu, Y. Chen, Z. Yi, · 2019
Cited alongside, same era.
Temporal changes of ct findings in 90 patients with covid-19 pneumonia: a longitudinal study,
Y. Wang, C. Dong, Y. Hu, C. Li, Q. Ren, X. Zhang, H. Shi, M. Zhou, · 2020
Closest in time.
Covidx-net: A framework of deep learning classifiers to diagnose covid-19 in x-ray images,
E. E.-D. Hemdan, M. A. Shouman, M. E. Karar, · 2020
Closest in time.
Covid-19 image data collection,
J. P. Cohen, P. Morrison, L. Dao, · 2020
Closest in time.
Adrian Rosebrock, Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning, 2020. URL: https://www.pyimagesearch.com/2020/03/16/detecting-covid-19-in-x-ray-images-with-keras-tensorflow-and-deep-learning/
2020
Closest in time.
Coronavirus (covid-19) classification using ct images by machine learning methods,
M. Barstugan, U. Ozkaya, S. Ozturk, · 2020
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Deep learning iot system for online stroke detection in skull computed tomography images,
C. M. Dourado Jr, S. P. P. da Silva, R. V. M. da Nóbrega, A. C. d. S. Barros, P. P. Reboucas Filho, V. H. C. de Albuquerque, · 2019
Cited alongside, same era.
Mapgi: Accurate identification of anatomical landmarks and diseased tissue in gastrointestinal tract using deep learning,
T. Cogan, M. Cogan, L. Tamil, · 2019
Cited alongside, same era.
Covid-19 infection: Origin, transmission, and characteristics of human coronaviruses,
M. A. Shereen, S. Khan, A. Kazmi, N. Bashir, R. Siddique, · 2020
Cited alongside, same era.
Thrombocytopenia is associated with severe coronavirus disease 2019 (covid-19) infections: A meta-analysis,
G. Lippi, M. Plebani, B. M. Henry, · 2020
Cited alongside, same era.
Probable pangolin origin of sars-cov-2 associated with the covid-19 outbreak,
T. Zhang, Q. Wu, Z. Zhang, · 2020
Cited alongside, same era.
The impact of the covid-19 epidemic on the utilization of emergency dental services,
H. Guo, Y. Zhou, X. Liu, J. Tan, · 2020
Cited alongside, same era.
Coronavirus disease (covid-19): A primer for emergency physicians,
S. Chavez, B. Long, A. Koyfman, S. Y. Liang, · 2020
Cited alongside, same era.
Closest in time.
L. Wang, A. Wong, · 2020
Closest in time.
Kaggle, Kaggle’s Chest X-Ray Images (Pneumonia) dataset, 2020. URL: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia
2020
Closest in time.
H. S. Maghdid, A. T. Asaad, K. Z. Ghafoor, A. S. Sadiq, M. K. Khan, · 2020
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Estimating uncertainty and interpretability in deep learning for coronavirus (covid-19) detection,
B. Ghoshal, A. Tucker, · 2020
Closest in time.
Finding covid-19 from chest x-rays using deep learning on a small dataset,
L. O. Hall, R. Paul, D. B. Goldgof, G. M. Goldgof, · 2020
Closest in time.
Covid-resnet: A deep learning framework for screening of covid19 from radiographs,
M. Farooq, A. Hafeez, · 2020
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Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network,
Z. Liu, Y. Cao, Y. Li, X. Xiao, Q. Qiu, M. Yang, Y. Zhao, L. Cui, · 2020
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Detection of tumors on brain mri images using the hybrid convolutional neural network architecture,
A. Çinar, M. Yıldırım, · 2020
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