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Image Analysis in Big Data Architecture using Artificial Intelligence: Compression and Analysis of Biomedical Image Based on Machine Learning and Orthogonal Transforms with Application - Softcover
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In the medical field, data is increasingly growing and traditional methods cannot manage them efficiently. In the computational biomedical, the continuous challenges are management, analysis, and storage of the biomedical data. Nowadays, big data technology plays a significant role in the management, organization, and analysis of the data using machine learning and artificial intelligence techniques. It becomes very important to develop methods and/or architectures based on big data technologies for complete processing of biomedical images data. In this thesis, we propose a complete and optimal workflow based on big data technology and optimal algorithms drawn from literature to manage biomedical images. Compression step within the proposed optimal workflow will be considered as a study case implementing big data analysis technology. The proposed workflow implements an image compression algorithm for biomedical images, which is based on three main steps, orthogonal transform, vector quantization using machine learning and entropy encoding. The proposed algorithm allows us to develop appropriate and efficient methods to leverage a large number of images into the proposed workflow.
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Image Analysis in Big Data Architecture using Artificial Intelligence
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LAP LAMBERT Academic Publishing Dez 2019, 2019
ISBN 10: 6200480400
ISBN 13: 9786200480408
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the medical field, data is increasingly growing and traditional methods cannot manage them efficiently. In the computational biomedical, the continuous challenges are management, analysis, and storage of the biomedical data. Nowadays, big data technology plays a significant role in the management, organization, and analysis of the data using machine learning and artificial intelligence techniques. It becomes very important to develop methods and/or architectures based on big data technologies for complete processing of biomedical images data. In this thesis, we propose a complete and optimal workflow based on big data technology and optimal algorithms drawn from literature to manage biomedical images. Compression step within the proposed optimal workflow will be considered as a study case implementing big data analysis technology. The proposed workflow implements an image compression algorithm for biomedical images, which is based on three main steps, orthogonal transform, vector quantization using machine learning and entropy encoding. The proposed algorithm allows us to develop appropriate and efficient methods to leverage a large number of images into the proposed workflow. 148 pp. Englisch. Seller Inventory # 9786200480408
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Image Analysis in Big Data Architecture using Artificial Intelligence
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200480400
ISBN 13: 9786200480408
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Softcover
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Image Analysis in Big Data Architecture using Artificial Intelligence : Compression and Analysis of Biomedical Image Based on Machine Learning and Orthogonal Transforms with Application
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200480400
ISBN 13: 9786200480408
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the medical field, data is increasingly growing and traditional methods cannot manage them efficiently. In the computational biomedical, the continuous challenges are management, analysis, and storage of the biomedical data. Nowadays, big data technology plays a significant role in the management, organization, and analysis of the data using machine learning and artificial intelligence techniques. It becomes very important to develop methods and/or architectures based on big data technologies for complete processing of biomedical images data. In this thesis, we propose a complete and optimal workflow based on big data technology and optimal algorithms drawn from literature to manage biomedical images. Compression step within the proposed optimal workflow will be considered as a study case implementing big data analysis technology. The proposed workflow implements an image compression algorithm for biomedical images, which is based on three main steps, orthogonal transform, vector quantization using machine learning and entropy encoding. The proposed algorithm allows us to develop appropriate and efficient methods to leverage a large number of images into the proposed workflow. Seller Inventory # 9786200480408
Quantity: 1 available
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Image Analysis in Big Data Architecture using Artificial Intelligence
Published by
LAP LAMBERT Academic Publishing Dez 2019, 2019
ISBN 10: 6200480400
ISBN 13: 9786200480408
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -In the medical field, data is increasingly growing and traditional methods cannot manage them efficiently. In the computational biomedical, the continuous challenges are management, analysis, and storage of the biomedical data. Nowadays, big data technology plays a significant role in the management, organization, and analysis of the data using machine learning and artificial intelligence techniques. It becomes very important to develop methods and/or architectures based on big data technologies for complete processing of biomedical images data. In this thesis, we propose a complete and optimal workflow based on big data technology and optimal algorithms drawn from literature to manage biomedical images. Compression step within the proposed optimal workflow will be considered as a study case implementing big data analysis technology. The proposed workflow implements an image compression algorithm for biomedical images, which is based on three main steps, orthogonal transform, vector quantization using machine learning and entropy encoding. The proposed algorithm allows us to develop appropriate and efficient methods to leverage a large number of images into the proposed workflow.Books on Demand GmbH, Überseering 33, 22297 Hamburg 148 pp. Englisch. Seller Inventory # 9786200480408
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Image Analysis in Big Data Architecture using Artificial Intelligence: Compression and Analysis of Biomedical Image Based on Machine Learning and Orthogonal Transforms with Application
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200480400
ISBN 13: 9786200480408
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Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock. Seller Inventory # zk6200480400
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