Artificial Intelligence Biomedical Data (49 results)

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Paperback. Condition: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the proceedings of the First International Workshop on Artificial Intelligence for Biomedical Data, AIBio 2025, held in Conjunction with the European Conference on Artificial Intelligence, ECAI 2025, in Bologna, Italy, during October 25 26, 2025.The 12 full papers and 5 short papers were carefully reviewed and selected from 29 submissions. The papers have been divided into the following topical sections: AI for Disease; Data Generation and Augmentation; Multimodal Techniques; and Image Segmentation.The 4 remaining papers included in these proceedings are from the keynote speakers.…

Taschenbuch. Condition: Neu. Artificial Intelligence for Biomedical Data | First International Workshop, AIBio 2025, Held in Conjunction with the European Conference on Artificial Intelligence, ECAI 2025, Bologna, Italy, October 25-26, 2025, Proceedings | Cristian Tommasino (u. a.) | Taschenbuch | Communications in Computer and Information Science | xi | Englisch | 2026 | Springer | EAN 9783032172150 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.…

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Hardcover. Condition: new. Hardcover. The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies. The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. The book explains both positive as well as negative findings obtained by explainable AI techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.…

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Hardcover. Condition: gut. 2022. Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI) In deutscher Sprache. pages.

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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Hardcover. Condition: Brand New. 152 pages. 9.25x6.10x0.55 inches. In Stock.

Softcover. Condition: gut. 2023. Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI) In deutscher Sprache. pages.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume constitutes the proceedings of the First International Workshop on Artificial Intelligence for Biomedical Data, AIBio 2025, held in Conjunction with the European Conference on Artificial Intelligence, ECAI 2025, in Bologna, Italy, during October 25 26, 2025.The 12 full papers and 5 short papers were carefully reviewed and selected from 29 submissions. The papers have been divided into the following topical sections: AI for Disease; Data Generation and Augmentation; Multimodal Techniques; and Image Segmentation.The 4 remaining papers included in these proceedings are from the keynote speakers. 266 pp. Englisch.…

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.…

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