Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays (English)
- New search for: Mukherjee, Himadri
- New search for: Ghosh, Subhankar
- New search for: Dhar, Ankita
- New search for: Obaidullah, Sk Md
- New search for: Santosh, K. C.
- Further information on Santosh, K. C.:
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https://orcid.org/http://orcid.org/0000-0003-4176-0236
- New search for: Roy, Kaushik
- New search for: Mukherjee, Himadri
- New search for: Ghosh, Subhankar
- New search for: Dhar, Ankita
- New search for: Obaidullah, Sk Md
- New search for: Santosh, K. C.
- Further information on Santosh, K. C.:
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https://orcid.org/http://orcid.org/0000-0003-4176-0236
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In:
Applied Intelligence
: The International Journal of Research on Intelligent Systems for Real Life Complex Problems
;
51
, 5
;
2777-2789
;
2021
- Article (Journal) / Electronic Resource
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Title:Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays
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Additional title:Appl Intell
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Contributors:Mukherjee, Himadri ( author ) / Ghosh, Subhankar ( author ) / Dhar, Ankita ( author ) / Obaidullah, Sk Md ( author ) / Santosh, K. C. ( author ) / Roy, Kaushik ( author )
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Published in:Applied Intelligence : The International Journal of Research on Intelligent Systems for Real Life Complex Problems ; 51, 5 ; 2777-2789
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Publisher:
- New search for: Springer US
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Place of publication:New York
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Publication date:2021-05-01
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Size:13 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 51, Issue 5
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 2687
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Editorial for the COVID special issueAli, Moonis / Fujita, Hamido et al. | 2021
- 2689
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Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networksPunn, Narinder Singh / Agarwal, Sonali et al. | 2020
- 2703
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Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression modelSaqib, Mohd et al. | 2020
- 2714
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Kalman filter based short term prediction model for COVID-19 spreadSingh, Koushlendra Kumar / Kumar, Suraj / Dixit, Prachi / Bajpai, Manish Kumar et al. | 2020
- 2727
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A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19 in IndiaShrivastav, Lokesh Kumar / Jha, Sunil Kumar et al. | 2020
- 2740
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A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networksYasar, Huseyin / Ceylan, Murat et al. | 2020
- 2764
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Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networksGovindarajan, Satyavratan / Swaminathan, Ramakrishnan et al. | 2020
- 2776
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Correction to: Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networksGovindarajan, Satyavratan / Swaminathan, Ramakrishnan et al. | 2021
- 2777
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Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-raysMukherjee, Himadri / Ghosh, Subhankar / Dhar, Ankita / Obaidullah, Sk Md / Santosh, K. C. / Roy, Kaushik et al. | 2020
- 2790
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Design and analysis of a large-scale COVID-19 tweets datasetLamsal, Rabindra et al. | 2020
- 2805
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Stacked-autoencoder-based model for COVID-19 diagnosis on CT imagesLi, Daqiu / Fu, Zhangjie / Xu, Jun et al. | 2020
- 2818
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SEIAQRDT model for the spread of novel coronavirus (COVID-19): A case study in IndiaKumari, Preety / Singh, Harendra Pal / Singh, Swarn et al. | 2020
- 2838
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FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptomsHuang, Zhenxing / Liu, Xinfeng / Wang, Rongpin / Zhang, Mudan / Zeng, Xianchun / Liu, Jun / Yang, Yongfeng / Liu, Xin / Zheng, Hairong / Liang, Dong et al. | 2020
- 2850
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Attention-based VGG-16 model for COVID-19 chest X-ray image classificationSitaula, Chiranjibi / Hossain, Mohammad Belayet et al. | 2020
- 2864
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An automatic approach based on CNN architecture to detect Covid-19 disease from chest X-ray imagesHira, Swati / Bai, Anita / Hira, Sanchit et al. | 2020
- 2890
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“Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images”Al-antari, Mugahed A. / Hua, Cam-Hao / Bang, Jaehun / Lee, Sungyoung et al. | 2020
- 2908
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Intelligent system for COVID-19 prognosis: a state-of-the-art surveyNayak, Janmenjoy / Naik, Bighnaraj / Dinesh, Paidi / Vakula, Kanithi / Rao, B. Kameswara / Ding, Weiping / Pelusi, Danilo et al. | 2021
- 2939
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A method based on Graph Theory and Three Way Decisions to evaluate critical regions in epidemic diffusion:Gaeta, Angelo / Loia, Vincenzo / Orciuoli, Francesco et al. | 2021
- 2956
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Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching componentMohammed, Thura J. / Albahri, A. S. / Zaidan, A. A. / Albahri, O. S. / Al-Obaidi, Jameel R. / Zaidan, B. B. / Larbani, Moussa / Mohammed, R. T. / Hadi, Suha M. et al. | 2021
- 2988
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A new clustering method for the diagnosis of CoVID19 using medical imagesMittal, Himanshu / Pandey, Avinash Chandra / Pal, Raju / Tripathi, Ashish et al. | 2021
- 3012
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Cropping and attention based approach for masked face recognitionLi, Yande / Guo, Kun / Lu, Yonggang / Liu, Li et al. | 2021
- 3026
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Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detectionChakraborty, Mainak / Dhavale, Sunita Vikrant / Ingole, Jitendra et al. | 2021
- 3044
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Densely connected convolutional networks-based COVID-19 screening modelSingh, Dilbag / Kumar, Vijay / Kaur, Manjit et al. | 2021
- 3052
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Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysisAmara, Amina / Hadj Taieb, Mohamed Ali / Ben Aouicha, Mohamed et al. | 2021
- 3074
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The analysis of isolation measures for epidemic control of COVID-19Huang, Bo / Zhu, Yimin / Gao, Yongbin / Zeng, Guohui / Zhang, Juan / Liu, Jin / Liu, Li et al. | 2021
- 3086
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Using artificial intelligence techniques for COVID-19 genome analysisNawaz, M. Saqib / Fournier-Viger, Philippe / Shojaee, Abbas / Fujita, Hamido et al. | 2021
- 3104
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Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classificationP, Samson Anosh Babu / Annavarapu, Chandra Sekhara Rao et al. | 2021