Biomedical Application Big Data (13 results)

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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.…

Taschenbuch. Condition: Neu. Image Analysis in Big Data Architecture using Artificial Intelligence | Compression and Analysis of Biomedical Image Based on Machine Learning and Orthogonal Transforms with Application | Aurelle Tchagna Kouanou (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200480408 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Special Issue, Biomedical Applications of Big Data and Artificial Intelligence, explores the transformative role of AI and big data in biomedical research and healthcare. This volume features 14 rigorously reviewed studies covering topics such as disease diagnosis, medical image processing, survival prediction, cognitive load assessment, and medical knowledge extraction. By integrating AI-driven methodologies with big data analytics, these studies aim to enhance diagnostic accuracy, medical efficiency, and personalized treatment planning.Bridging the gap between AI-driven analytics and real-world medical applications, this reprint provides researchers, practitioners, and healthcare professionals with cutting-edge insights and methodologies. By collating studies exploring research areas including deep learning models for pathology segmentation, wearable ECG systems, or graph-based neural networks for patient monitoring, this collection presents a comprehensive overview of the latest advancements in AI-powered biomedical solutions. It is an essential resource for those interested in the intersection of data science, AI, and medicine, paving the way for future breakthroughs in healthcare technology.…