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001453056 001__ 1453056
001453056 003__ OCoLC
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001453056 019__ $$a1347028449
001453056 020__ $$a9783031111549$$q(electronic bk.)
001453056 020__ $$a3031111540$$q(electronic bk.)
001453056 020__ $$z9783031111532
001453056 020__ $$z3031111532
001453056 0247_ $$a10.1007/978-3-031-11154-9$$2doi
001453056 035__ $$aSP(OCoLC)1347279770
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001453056 049__ $$aISEA
001453056 050_4 $$aR859.7.A78
001453056 08204 $$a610.28563$$223/eng/20221012
001453056 24500 $$aArtificial intelligence and machine learning for healthcare.$$nVol. 1,$$pImage and data analytics /$$cChee-Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Tejasvi Jain, Lakhmi C. Jaim, editors.
001453056 24630 $$aImage and data analytics
001453056 264_1 $$aCham :$$bSpringer,$$c[2023]
001453056 300__ $$a1 online resource :$$billustrations (black and white, and color).
001453056 336__ $$atext$$btxt$$2rdacontent
001453056 337__ $$acomputer$$bc$$2rdamedia
001453056 338__ $$aonline resource$$bcr$$2rdacarrier
001453056 4901_ $$aIntelligent systems reference library ;$$vvolume 228
001453056 504__ $$aIncludes bibliographical references.
001453056 5050_ $$aAn Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. .
001453056 506__ $$aAccess limited to authorized users.
001453056 520__ $$aArtificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.
001453056 588__ $$aDescription based on print version record.
001453056 650_0 $$aArtificial intelligence$$xMedical applications.
001453056 650_0 $$aDiagnostic imaging.
001453056 655_0 $$aElectronic books.
001453056 7001_ $$aLim, Chee-Peng,$$eeditor.
001453056 7001_ $$aVaidya, Ashlesha,$$eeditor.
001453056 7001_ $$aChen, Yen-Wei,$$eeditor.
001453056 7001_ $$aJain, Tejasvi,$$eeditor.
001453056 7001_ $$aJain, L. C.,$$eeditor.$$1https://isni.org/isni/0000000114505286
001453056 77608 $$iPrint version:$$tArtificial intelligence and machine learning for healthcare. Volume 1 mage and data analytics, Image and data analytics.$$dCham : Springer, 2022$$z9783031111532$$w(OCoLC)1338680691
001453056 830_0 $$aIntelligent systems reference library ;$$vv. 228.
001453056 852__ $$bebk
001453056 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-11154-9$$zOnline Access$$91397441.1
001453056 909CO $$ooai:library.usi.edu:1453056$$pGLOBAL_SET
001453056 980__ $$aBIB
001453056 980__ $$aEBOOK
001453056 982__ $$aEbook
001453056 983__ $$aOnline
001453056 994__ $$a92$$bISE