國立高雄大學圖資館 |

Language: English

Back

Medical imaging and computer-aided diagnosisproceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Medical imaging and computer-aided diagnosisedited by Ruidan Su ... [et al.].
Reminder of title:	proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) /
remainder title:	MICAD 2022
other author:	Ruidan, Su.
corporate name:
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xv, 584 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imagingCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-981-16-6775-6
ISBN:	9789811667756$q(electronic bk.)

Medical imaging and computer-aided diagnosisproceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) /
Medical imaging and computer-aided diagnosisproceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) /[electronic resource] :MICAD 2022edited by Ruidan Su ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xv, 584 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 8101876-1119 ;. - Lecture notes in electrical engineering ;v.132..

Optical 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 -- COVID-19 image processing -- Segmentation -- Pattern recognition -- Feature extraction -- Classifier design -- Machine learning including deep learning -- Radiomics -- CAD workstation design -- Human-computer interaction -- Computer Aided Diagnosis on COVID-19.

This 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.

ISBN: 9789811667756$q(electronic bk.)

Standard No.: 10.1007/978-981-16-6775-6doiSubjects--Topical Terms:

445765
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Medical imaging and computer-aided diagnosisproceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) /
LDR:02437nmm a2200349 a 4500 001 653479
003 DE-He213
005 20231219204758.0
006 m d
007 cr nn 008maaau
008 240426s2023 si s 0 eng d
020 $a 9789811667756$q(electronic bk.)
020 $a 9789811667749$q(paper)
024 7 $a 10.1007/978-981-16-6775-6 $2 doi
035 $a 978-981-16-6775-6
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a MQW $2 bicssc
072 7 $a TEC059000 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b I61 2022
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Medical imaging and computer-aided diagnosis $h [electronic resource] : $b proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) / $c edited by Ruidan Su ... [et al.].
246 3 $a MICAD 2022
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xv, 584 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in electrical engineering, $x 1876-1119 ; $v v. 810
505 0 $a Optical 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 -- COVID-19 image processing -- Segmentation -- Pattern recognition -- Feature extraction -- Classifier design -- Machine learning including deep learning -- Radiomics -- CAD workstation design -- Human-computer interaction -- Computer Aided Diagnosis on COVID-19.
520 $a This 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.
650 0 $a Diagnostic imaging $x Data processing $v Congresses. $3 445765
650 0 $a Diagnosis $x Data processing $v Congresses. $3 884366
650 1 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Digital and Analog Signal Processing. $3 913395
650 2 4 $a Computer Vision. $3 913138
700 1 $a Ruidan, Su. $3 964031
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in electrical engineering ; $v v.132. $3 545003
856 4 0 $u https://doi.org/10.1007/978-981-16-6775-6
950 $a Medicine (SpringerNature-11650)