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001469798 001__ 1469798
001469798 003__ OCoLC
001469798 005__ 20230803003347.0
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001469798 008__ 230620s2023\\\\si\a\\\\o\\\\\000\0\eng\d
001469798 019__ $$a1384413997
001469798 020__ $$a9789819918393$$q(electronic bk.)
001469798 020__ $$a9819918391$$q(electronic bk.)
001469798 020__ $$z9819918383
001469798 020__ $$z9789819918386
001469798 0247_ $$a10.1007/978-981-99-1839-3$$2doi
001469798 035__ $$aSP(OCoLC)1383653085
001469798 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCF
001469798 049__ $$aISEA
001469798 050_4 $$aR859.7.D44
001469798 08204 $$a610.285/63$$223/eng/20230620
001469798 24500 $$aDeep learning and medical applications /$$cJin Keun Seo, editor.
001469798 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001469798 264_4 $$c©2023
001469798 300__ $$a1 online resource (xv, 339 pages) :$$billustrations (chiefly color).
001469798 336__ $$atext$$btxt$$2rdacontent
001469798 337__ $$acomputer$$bc$$2rdamedia
001469798 338__ $$aonline resource$$bcr$$2rdacarrier
001469798 4901_ $$aMathematics in industry ;$$vvolume 40
001469798 5050_ $$aIntroduction -- 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.
001469798 506__ $$aAccess limited to authorized users.
001469798 520__ $$aOver 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.
001469798 588__ $$aDescription based on print version record.
001469798 650_0 $$aArtificial intelligence$$xMedical applications.
001469798 650_0 $$aDeep learning (Machine learning)
001469798 650_0 $$aBiomedical engineering$$xTechnological innovations.
001469798 655_0 $$aElectronic books.
001469798 7001_ $$aSeo, Jin Keun,$$eeditor.
001469798 77608 $$iPrint version:$$tDEEP LEARNING AND MEDICAL APPLICATIONS.$$d[Place of publication not identified] : SPRINGER VERLAG, SINGAPOR, 2023$$z9819918383$$w(OCoLC)1372394203
001469798 830_0 $$aMathematics in industry ;$$v40.
001469798 852__ $$bebk
001469798 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1839-3$$zOnline Access$$91397441.1
001469798 909CO $$ooai:library.usi.edu:1469798$$pGLOBAL_SET
001469798 980__ $$aBIB
001469798 980__ $$aEBOOK
001469798 982__ $$aEbook
001469798 983__ $$aOnline
001469798 994__ $$a92$$bISE