Image Analysis in Big Data Architecture using Artificial Intelligence

Language: English

Published by LAP LAMBERT Academic Publishing Dez 2019, 2019

6200480400 / 9786200480408

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This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. …

Seller Inventory # 9786200480408

Title
Image Analysis in Big Data Architecture using Artificial Intelligence
Author
Aurelle Tchagna Kouanou
Publisher
LAP LAMBERT Academic Publishing Dez 2019
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6200480400
ISBN 13
9786200480408
Item weight
238 grams
Dimensions
220x150x10 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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