ADOPT: automatic deep learning and optimization-based approach for detection of novel coronavirus COVID-19 disease using X-ray images-Reference-Cited by-同舟云学术

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ADOPT: automatic deep learning and optimization-based approach for detection of novel coronavirus COVID-19 disease using X-ray images

Published:2021-01-21 Issue: Volume: Page:1-13
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Dhiman Gaurav¹,Chang Victor²,Kant Singh Krishna³,Shankar Achyut⁴

Affiliation:

1. Department of Computer Science, Government Bikram College of Commerce, Patiala, Punjab, India

2. School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, UK

3. Department of Electronics & Communication Engineering, KIET Group of Institution, Delhi-NCR, India

4. Department of Computer Science & Engineering, ASET, Amity University, Noida, India

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2021.1875049

Reference40 articles.

1. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

2. Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images

3. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster

4. MOSHEPO: a hybrid multi-objective approach to solve economic load dispatch and micro grid problems

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5. TO ANALYZE THE LUNGS X-RAY IMAGES USING MACHINE LEARNING ALGORITHM: AN IMPLEMENTATION TO PNEUMONIA DIAGNOSIS;Suranaree Journal of Science and Technology;2024-06-11

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