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001442147 001__ 1442147
001442147 003__ OCoLC
001442147 005__ 20230310003314.0
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001442147 020__ $$a9789811638800$$q(electronic bk.)
001442147 020__ $$a9811638802$$q(electronic bk.)
001442147 020__ $$z9789811638794$$q(print)
001442147 0247_ $$a10.1007/978-981-16-3880-0$$2doi
001442147 035__ $$aSP(OCoLC)1264224354
001442147 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO$$dOCLCF$$dN$T$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCQ$$dOCLCO$$dOCLCQ
001442147 049__ $$aISEA
001442147 050_4 $$aRC78.7.D53
001442147 08204 $$a616.07/54$$223
001442147 1112_ $$aInternational Conference on Medical Imaging and Computer-Aided Diagnosis$$d(2021 :$$cOnline)
001442147 24510 $$aProceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) :$$bMedical Imaging and Computer-Aided Diagnosis /$$cRuidan Su, Yu-Dong Zhang, Han Liu, editors.
001442147 2463_ $$aMICAD 2021
001442147 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001442147 300__ $$a1 online resource (xiii, 439 pages) :$$billustrations (some color)
001442147 336__ $$atext$$btxt$$2rdacontent
001442147 337__ $$acomputer$$bc$$2rdamedia
001442147 338__ $$aonline resource$$bcr$$2rdacarrier
001442147 4901_ $$aLecture notes in electrical engineering,$$x1876-1119 ;$$vvolume 784
001442147 500__ $$aIncludes author index.
001442147 5050_ $$aMedical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.
001442147 506__ $$aAccess limited to authorized users.
001442147 520__ $$aThis book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human-computer interaction, databases, and performance evaluation.
001442147 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 18, 2021).
001442147 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
001442147 650_0 $$aDiagnosis$$xData processing$$vCongresses.
001442147 650_6 $$aImagerie pour le diagnostic$$xInformatique$$vCongrès.
001442147 650_6 $$aDiagnostics$$xInformatique$$vCongrès.
001442147 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001442147 655_7 $$aConference papers and proceedings.$$2lcgft
001442147 655_7 $$aActes de congrès.$$2rvmgf
001442147 655_0 $$aElectronic books.
001442147 7001_ $$aSu, Ruidan,$$eeditor.
001442147 7001_ $$aZhang, Yu-Dong,$$eeditor.
001442147 7001_ $$aLiu, Han,$$eeditor.
001442147 830_0 $$aLecture notes in electrical engineering ;$$vv. 784.$$x1876-1119
001442147 852__ $$bebk
001442147 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3880-0$$zOnline Access$$91397441.1
001442147 909CO $$ooai:library.usi.edu:1442147$$pGLOBAL_SET
001442147 980__ $$aBIB
001442147 980__ $$aEBOOK
001442147 982__ $$aEbook
001442147 983__ $$aOnline
001442147 994__ $$a92$$bISE