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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 - Couverture souple
Synopsis
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
Edité par
LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 6200480400
ISBN 13 : 9786200480408
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. N° de réf. du vendeur 497105966
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Image Analysis in Big Data Architecture using Artificial Intelligence
Edité par
LAP LAMBERT Academic Publishing Dez 2019, 2019
ISBN 10 : 6200480400
ISBN 13 : 9786200480408
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 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
Edité par
LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 6200480400
ISBN 13 : 9786200480408
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786200480408
Quantité disponible : 1 disponible(s)
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Image Analysis in Big Data Architecture using Artificial Intelligence
Edité par
LAP LAMBERT Academic Publishing Dez 2019, 2019
ISBN 10 : 6200480400
ISBN 13 : 9786200480408
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 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
Edité par
LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 6200480400
ISBN 13 : 9786200480408
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock. N° de réf. du vendeur zk6200480400
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