LEADER 04037nam 22007215 450 001 9910497091803321 005 20211006043813.0 010 $a981-16-3880-2 024 7 $a10.1007/978-981-16-3880-0 035 $a(CKB)4100000011999730 035 $a(DE-He213)978-981-16-3880-0 035 $a(MiAaPQ)EBC6702927 035 $a(Au-PeEL)EBL6702927 035 $a(EXLCZ)994100000011999730 100 $a20210814d2022 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021)$b[electronic resource] $eMedical Imaging and Computer-Aided Diagnosis /$fedited by Ruidan Su, Yu-Dong Zhang, Han Liu 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (XIII, 439 p. 204 illus., 151 illus. in color.) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v784 311 $a981-16-3879-9 327 $aMedical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others. 330 $aThis book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human?computer interaction, databases, and performance evaluation. . 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v784 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 $aImaging / Radiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H29005 608 $aElectronic books. 615 0$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$aImaging / Radiology. 676 $a610.28 702 $aSu$b Ruidan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Yu-Dong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Han$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 906 $aBOOK 912 $a9910497091803321 996 $aProceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021)$91916525 997 $aUNINA