An integrated feature frame work for automated segmentation of COVID‐19 infection from lung CT images

The novel coronavirus disease (SARS‐CoV‐2 or COVID‐19) is spreading across the world and is affecting public health and the world economy. Artificial Intelligence (AI) can play a key role in enhancing COVID‐19 detection. However, lung infection by COVID‐19 is not quantifiable due to a lack of studie...

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Veröffentlicht in:	International journal of imaging systems and technology 2021-03, Vol.31 (1), p.28-46
Hauptverfasser:	Selvaraj, Deepika, Venkatesan, Arunachalam, Mahesh, Vijayalakshmi G. V., Joseph Raj, Alex Noel
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Artificial neural networks Computed tomography computed tomography image Datasets deep neural network Engineering Engineering, Electrical & Electronic Error analysis Feature extraction Global economy Image segmentation Imaging Science & Photographic Technology Infections limited training points Lungs Medical imaging Neural networks Optics Physical Sciences Public health Science & Technology segmentation Sensitivity Technology Viral diseases Zernike moment
Online-Zugang:	Volltext
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