Artificial intelligence and machine learning for healthcare.: Vol. 1,: Image and data analytics /: Chee-Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Tejasvi Jain, Lakhmi C. Jaim, editors.

Lim, Chee-Peng,; Vaidya, Ashlesha,; Chen, Yen-Wei,; Jain, Tejasvi,; Jain, L. C.,

doi:10.1007/978-3-031-11154-9

Artificial intelligence and machine learning for healthcare. Vol. 1, Image and data analytics / Chee-Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Tejasvi Jain, Lakhmi C. Jaim, editors.

Lim, Chee-Peng, editor.; Vaidya, Ashlesha, editor.; Chen, Yen-Wei, editor.; Jain, Tejasvi, editor.; Jain, L. C., editor.

2023

R859.7.A78

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Title

Artificial intelligence and machine learning for healthcare. Vol. 1, Image and data analytics / Chee-Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Tejasvi Jain, Lakhmi C. Jaim, editors.

ISBN

9783031111549 (electronic bk.)
3031111540 (electronic bk.)
9783031111532
3031111532

DOI

https://doi.org/10.1007/978-3-031-11154-9

Published

Cham : Springer, [2023]

Language

English

Description

1 online resource : illustrations (black and white, and color).

Item Number

10.1007/978-3-031-11154-9 doi

Call Number

R859.7.A78

Dewey Decimal Classification

610.28563

Summary

Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.

Bibliography, etc. Note

Includes bibliographical references.

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Access limited to authorized users.

Source of Description

Description based on print version record.

Added Author

Lim, Chee-Peng, editor.
Vaidya, Ashlesha, editor.
Chen, Yen-Wei, editor.
Jain, Tejasvi, editor.
Jain, L. C., editor.

Series

Intelligent systems reference library ; v. 228.

Available in Other Form

Artificial intelligence and machine learning for healthcare. Volume 1 mage and data analytics, Image and data analytics.