Deep learning and medical applications / Jin Keun Seo, editor.
2023
R859.7.D44
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Details
Title
Deep learning and medical applications / Jin Keun Seo, editor.
ISBN
9789819918393 (electronic bk.)
9819918391 (electronic bk.)
9819918383
9789819918386
9819918391 (electronic bk.)
9819918383
9789819918386
Published
Singapore : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xv, 339 pages) : illustrations (chiefly color).
Other Standard Identifiers
10.1007/978-981-99-1839-3 doi
Call Number
R859.7.D44
Dewey Decimal Classification
610.285/63
Summary
Over the past 40 years, diagnostic medical imaging has undergone remarkable advancements in CT, MRI, and ultrasound technology. Today, the field is experiencing a major paradigm shift, thanks to significant and rapid progress in deep learning techniques. As a result, numerous innovative AI-based programs have been developed to improve image quality and enhance clinical workflows, leading to more efficient and accurate diagnoses. AI advancements of medical imaging not only address existing unsolved problems but also present new and complex challenges. Solutions to these challenges can improve image quality and reveal new information currently obscured by noise, artifacts, or other signals. Holistic insight is the key to solving these challenges. Such insight may lead to a creative solution only when it is based on a thorough understanding of existing methods and unmet demands. This book focuses on advanced topics in medical imaging modalities, including CT and ultrasound, with the aim of providing practical applications in the healthcare industry. It strikes a balance between mathematical theory, numerical practice, and clinical applications, offering comprehensive coverage from basic to advanced levels of mathematical theories, deep learning techniques, and algorithm implementation details. Moreover, it provides in-depth insights into the latest advancements in dental cone-beam CT, fetal ultrasound, and bioimpedance, making it an essential resource for professionals seeking to stay up-to-date with the latest developments in the field of medical imaging.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Seo, Jin Keun, editor.
Series
Mathematics in industry ; 40.
Available in Other Form
DEEP LEARNING AND MEDICAL APPLICATIONS.
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Table of Contents
Introduction
Image Processing Techniques
Medical image computing using Computeruzed Tomography
Multiphysics imaging modalities using MRI (electrical, mechanical, optical)
Imaging modalities using electrodes
Multiphysics imaging modalities using ultrasound and light
Emerging tissue property imaging.
Image Processing Techniques
Medical image computing using Computeruzed Tomography
Multiphysics imaging modalities using MRI (electrical, mechanical, optical)
Imaging modalities using electrodes
Multiphysics imaging modalities using ultrasound and light
Emerging tissue property imaging.