04109nam 22006735 450 991073145980332120240509122938.0981-9918-39-110.1007/978-981-99-1839-3(MiAaPQ)EBC30601987(Au-PeEL)EBL30601987(DE-He213)978-981-99-1839-3(PPN)27226136X(CKB)27060364500041(EXLCZ)992706036450004120230615d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDeep Learning and Medical Applications /edited by Jin Keun Seo1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (349 pages)Mathematics in Industry,2198-3283 ;40Print version: Seo, Jin Keun Deep Learning and Medical Applications Singapore : Springer,c2023 9789819918386 Includes bibliographical references.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.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.Mathematics in Industry,2198-3283 ;40Mathematical modelsMathematical analysisMathematicsMathematical Modeling and Industrial MathematicsAnalysisApplications of MathematicsIntel·ligència artificial en medicinathubAprenentatge automàticthubEnginyeria biomèdicathubLlibres electrònicsthubMathematical models.Mathematical analysis.Mathematics.Mathematical Modeling and Industrial Mathematics.Analysis.Applications of Mathematics.Intel·ligència artificial en medicinaAprenentatge automàtic.Enginyeria biomèdica610.28563Seo Jin KeunMiAaPQMiAaPQMiAaPQBOOK9910731459803321Deep learning and medical applications3554141UNINA