Intelligent Systems for Biomedical Signal and Image Processing | Artificial Intelligence in Biomedical Signal and Image Processing: Techniques and Applications

Prateek Pratyasha (u. a.)

ISBN 10: 6208423708 ISBN 13: 9786208423704
Published by LAP LAMBERT Academic Publishing, 2025
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Intelligent Systems for Biomedical Signal and Image Processing | Artificial Intelligence in Biomedical Signal and Image Processing: Techniques and Applications | Prateek Pratyasha (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208423704 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 133336277

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The introduction of artificial intelligence in healthcare enables accurate, automated, and cost-effective analysis of complicated data. Biomedical signals, including EEG, ECG, MRI, CT, and X-rays, are needed to diagnose and track medical conditions.AI-driven epilepsy detection technologies use machine learning and deep learning to improve signal quality, extract relevant characteristics, and discover subtle patterns that are hard to detect manually. Biometric medical imaging aids diagnosis and therapy. Biometrics identifies the most relevant and minute features for a rigorous, patient-specific study. It includes data segmentation, extraction, and classification approaches to overcome data dimension complexity. Such an intelligent system holds promise for providing early detection, and real-time monitoring, improving model accuracy and scalability.

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Title: Intelligent Systems for Biomedical Signal ...
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2025
Binding: Taschenbuch
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Pratyasha, Prateek; Padhy, Aditya Prasad
Published by LAP LAMBERT Academic Publishing, 2025
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The introduction of artificial intelligence in healthcare enables accurate, automated, and cost-effective analysis of complicated data. Biomedical signals, including EEG, ECG, MRI, CT, and X-rays, are needed to diagnose and track medical conditions.AI-driven epilepsy detection technologies use machine learning and deep learning to improve signal quality, extract relevant characteristics, and discover subtle patterns that are hard to detect manually. Biometric medical imaging aids diagnosis and therapy. Biometrics identifies the most relevant and minute features for a rigorous, patient-specific study. It includes data segmentation, extraction, and classification approaches to overcome data dimension complexity. Such an intelligent system holds promise for providing early detection, and real-time monitoring, improving model accuracy and scalability. 76 pp. Englisch. Seller Inventory # 9786208423704

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The introduction of artificial intelligence in healthcare enables accurate, automated, and cost-effective analysis of complicated data. Biomedical signals, including EEG, ECG, MRI, CT, and X-rays, are needed to diagnose and track medical conditions.AI-driven epilepsy detection technologies use machine learning and deep learning to improve signal quality, extract relevant characteristics, and discover subtle patterns that are hard to detect manually. Biometric medical imaging aids diagnosis and therapy. Biometrics identifies the most relevant and minute features for a rigorous, patient-specific study. It includes data segmentation, extraction, and classification approaches to overcome data dimension complexity. Such an intelligent system holds promise for providing early detection, and real-time monitoring, improving model accuracy and scalability. Seller Inventory # 9786208423704

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Paperback. Condition: new. Paperback. The introduction of artificial intelligence in healthcare enables accurate, automated, and cost-effective analysis of complicated data. Biomedical signals, including EEG, ECG, MRI, CT, and X-rays, are needed to diagnose and track medical conditions.AI-driven epilepsy detection technologies use machine learning and deep learning to improve signal quality, extract relevant characteristics, and discover subtle patterns that are hard to detect manually. Biometric medical imaging aids diagnosis and therapy. Biometrics identifies the most relevant and minute features for a rigorous, patient-specific study. It includes data segmentation, extraction, and classification approaches to overcome data dimension complexity. Such an intelligent system holds promise for providing early detection, and real-time monitoring, improving model accuracy and scalability. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786208423704

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