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001438456 001__ 1438456
001438456 003__ OCoLC
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001438456 019__ $$a1262373097$$a1266289173
001438456 020__ $$a9783030718817$$q(electronic bk.)
001438456 020__ $$a3030718816$$q(electronic bk.)
001438456 020__ $$z3030718808
001438456 020__ $$z9783030718800
001438456 0247_ $$a10.1007/978-3-030-71881-7$$2doi
001438456 035__ $$aSP(OCoLC)1261877209
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001438456 049__ $$aISEA
001438456 050_4 $$aRK240
001438456 08204 $$a617.600285/631$$223
001438456 24500 $$aMachine learning in dentistry /$$cChing-Chang Ko, Dinggang Shen, Li Wang, editors.
001438456 260__ $$aCham, Switzerland :$$bSpringer,$$c2021.
001438456 300__ $$a1 online resource
001438456 336__ $$atext$$btxt$$2rdacontent
001438456 337__ $$acomputer$$bc$$2rdamedia
001438456 338__ $$aonline resource$$bcr$$2rdacarrier
001438456 5050_ $$aMachine Learning for Dental Imaging: Machine Learning for CBCT Segmentation of Craniofacial 3D Image -- Machine Learning for Automatic Landmark Detection of 3D Imaging -- Machine Learning for Generating Dental CT from Magnetic Resonance Imaging (MRI) -- Machine Learning for 2D Dynamic Facial Photographs. Machine Learning for Oral Diagnosis and Treatment: Machine Learning for Orthodontic Diagnosis and Treatment Planning -- Machine Learning for Diagnosis of Periodontal Diseases -- Machine Learning for Oral Microbiome -- Machine Learning for Characterization of Craniofacial Anomaly -- Machine Learning for Orthognathic Surgery -- Machine Learning for Bone Tissue Engineering. Machine Learning and Dental Designs: Machine Learning for Orthodontic CAD/CAM Technologies -- Machine Learning for Design of Dental Implants -- Machine Learning for Optimization of Dental Material Processing. Machine Learning Supporting Dental Research: Machine Learning for Data Mining in Teledentistry -- Machine Learning for Evidence-Based Literature Search -- Machine Learning in Genetics and Genomics -- Machine Learning and Finite Element Modeling.
001438456 506__ $$aAccess limited to authorized users.
001438456 520__ $$aThis book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to learn for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.
001438456 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 4, 2021).
001438456 650_0 $$aDentistry$$xData processing.
001438456 650_0 $$aMachine learning.
001438456 650_0 $$aDental informatics.
001438456 650_6 $$aDentisterie$$xInformatique.
001438456 650_6 $$aApprentissage automatique.
001438456 655_7 $$aLlibres electrònics.$$2thub
001438456 655_0 $$aElectronic books.
001438456 7001_ $$aKo, Ching-Chang,$$eeditor.
001438456 7001_ $$aShen, Dinggang,$$eeditor.
001438456 7001_ $$aWang, Li,$$eeditor.
001438456 77608 $$iPrint version:$$z3030718808$$z9783030718800$$w(OCoLC)1237861999
001438456 852__ $$bebk
001438456 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-71881-7$$zOnline Access$$91397441.1
001438456 909CO $$ooai:library.usi.edu:1438456$$pGLOBAL_SET
001438456 980__ $$aBIB
001438456 980__ $$aEBOOK
001438456 982__ $$aEbook
001438456 983__ $$aOnline
001438456 994__ $$a92$$bISE