£123.63

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Springer Computerized Systems for COVID-19 Diagnosis and Treatment

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£123.63 £117.45 £119.92 £122.39 £124.87 £127.34 £129.81 28 July 2026 13 August 2026 30 August 2026 15 September 2026 02 October 2026
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Description

This Springer book explores how signal and image processing, artificial intelligence, and machine learning technologies support COVID-19 diagnosis and treatment with high precision and speed. The comprehensive guide covers critical diagnostic applications alongside treatment approaches for respiratory, cardiovascular, and neurological symptoms. Readers will discover practical techniques spanning signal processing, time series analysis, and image segmentation, alongside detection and classification methods. The content integrates deep learning and transfer learning approaches, equipping healthcare professionals and researchers with current computational methods for managing COVID-19 across multiple patient presentations and clinical scenarios.

Key Features

Springer publication focusing on signal and image processing technologies applied to COVID-19 diagnosis and treatment protocols.

Covers deep learning and transfer learning techniques for critical diagnosis requiring both high precision and rapid results.

Explores time series analysis and image segmentation methods for detecting and classifying COVID-19 symptoms.

Addresses treatment applications for respiratory, cardiovascular, and neurological complications associated with COVID-19.

Presents transformer-based computational approaches and artificial intelligence methods for healthcare practitioners and researchers.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 June 2024
Listed Since
29 June 2024

Barcode

No barcode data available

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