LEADER 04116nam  22007335  450 
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005 20200922143152.0
010   $a981-15-5199-5
024 7 $a10.1007/978-981-15-5199-4
035   $a(CKB)4100000011325709
035   $a(DE-He213)978-981-15-5199-4
035   $a(MiAaPQ)EBC6264129
035   $a(PPN)250224399
035   $a(EXLCZ)994100000011325709
100   $a20200702d2020      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMedical Imaging and Computer-Aided Diagnosis $eProceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) /$fedited by Ruidan Su, Han Liu
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (XI, 244 p. 107 illus., 76 illus. in color.) 
225 1 $aLecture Notes in Electrical Engineering,$x1876-1100 ;$v633
300   $aIncludes index.
311   $a981-15-5198-7 
327   $aOptical and Photo-acoustic Imaging -- Image Analysis and Signal Processing -- Shape Representation and Analysis -- Image Reconstruction -- Imaging and Genomics -- Image Guided Surgery -- Image-Guided Interventions and Surgery -- Segmentation -- Pattern recognition -- Feature extraction -- Classifier design -- Machine learning including deep learning -- Radiomics -- CAD workstation design -- Human-computer interaction.
330   $aThis book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human?computer interaction, databases, and performance evaluation. .
410  0$aLecture Notes in Electrical Engineering,$x1876-1100 ;$v633
606   $aBiomedical engineering
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aOptical data processing
606   $aPattern recognition
606   $aRadiology
606   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aDiagnostic Radiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H29013
615  0$aBiomedical engineering.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aOptical data processing.
615  0$aPattern recognition.
615  0$aRadiology.
615 14$aBiomedical Engineering and Bioengineering.
615 24$aSignal, Image and Speech Processing.
615 24$aImage Processing and Computer Vision.
615 24$aPattern Recognition.
615 24$aDiagnostic Radiology.
676   $a616.07540285
702   $aSu$b Ruidan$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLiu$b Han$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910411936203321
996   $aMedical Imaging and Computer-Aided Diagnosis$92522914
997   $aUNINA