LEADER 03434nam  22007215  450 
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010   $a981-16-3879-9
010   $a981-16-3880-2
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(PPN)257351582
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) $eMedical Imaging and Computer-Aided Diagnosis /$fedited by Ruidan Su, Yu-Dong Zhang, Han Liu
205   $a1st ed. 2022.
210  1$aSingapore :$cSpringer Nature Singapore :$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   $aComputer vision
606   $aPattern recognition systems
606   $aRadiology
606   $aBiomedical Engineering and Bioengineering
606   $aDigital and Analog Signal Processing
606   $aComputer Vision
606   $aAutomated Pattern Recognition
606   $aRadiology
615  0$aBiomedical engineering.
615  0$aSignal processing.
615  0$aComputer vision.
615  0$aPattern recognition systems.
615  0$aRadiology.
615 14$aBiomedical Engineering and Bioengineering.
615 24$aDigital and Analog Signal Processing.
615 24$aComputer Vision.
615 24$aAutomated Pattern Recognition.
615 24$aRadiology.
676   $a610.28
702   $aSu$b Ruidan
702   $aZhang$b Yu-Dong
702   $aLiu$b Chengyu$fapproximately 1873-1952,
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910743262803321
996   $aProceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021)$93560845
997   $aUNINA