Deep Learning and Other Soft Computing Techniques (Hardcover)

Nguyen Hoang Phuong

ISBN 10: 3031294467 / ISBN 13: 9783031294464

Published by Springer International Publishing AG, Cham, 2023

About this Item

Hardcover. This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics. This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applicationsand to further develop thisimportant research direction. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783031294464

Bibliographic Details

• Title: Deep Learning and Other Soft Computing Techniques (Hardcover)
• Publisher: Springer International Publishing AG, Cham
• Publication Date: 2023
• Language: English
• ISBN 10: 3031294467
• ISBN 13: 9783031294464
• Binding: Hardcover
• Condition: new

About this title

Synopsis

This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.

Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).

The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics.

This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications―and to further develop thisimportant research direction.