Deep Learning and Medical Applications

Buch | Softcover

339 Seiten

2024 | 2023 ed.
Springer Verlag, Singapore
978-981-99-1841-6 (ISBN)

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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 imagingmodalities, 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.

Professor Jin Keun Seo is a Professor of School of Mathematics and Computing (Computational Science and Engineering) at Yonsei University.

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.

Erscheinungsdatum	18.06.2024
Reihe/Serie	Mathematics in Industry
Zusatzinfo	216 Illustrations, color; 20 Illustrations, black and white
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Analysis
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	Image reconstruction method • Image Segmentation • Mathematical modeling and analysis • Medical Image Computing • nonlinear inverse problems
ISBN-10	981-99-1841-3 / 9819918413
ISBN-13	978-981-99-1841-6 / 9789819918416
Zustand	Neuware