國立高雄大學圖資館 |

登入

回首頁

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)medical imaging and computer-aided diagnosis /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi.
其他題名:	medical imaging and computer-aided diagnosis /
其他題名:	MICAD 2023
其他作者:	Su, Ruidan.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xiv, 406 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Diagnostic imagingCongresses.Data processing
電子資源:	https://doi.org/10.1007/978-981-97-1335-6
ISBN:	9789819713356$q(electronic bk.)

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)medical imaging and computer-aided diagnosis /
Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)medical imaging and computer-aided diagnosis /[electronic resource] :MICAD 2023edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi. - Singapore :Springer Nature Singapore :2024. - xiv, 406 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 11661876-1119 ;. - Lecture notes in electrical engineering ;v.132..

Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.

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. This book includes the state-of-the-art research of computer-aided diagnosis systems with aritificial intelligence. 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: 9789819713356$q(electronic bk.)

Standard No.: 10.1007/978-981-97-1335-6doiSubjects--Topical Terms:

445765
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)medical imaging and computer-aided diagnosis /
LDR:02214nmm a2200349 a 4500 001 664386
003 DE-He213
005 20240319221832.0
006 m d
007 cr nn 008maaau
008 241219s2024 si s 0 eng d
020 $a 9789819713356$q(electronic bk.)
020 $a 9789819713349$q(paper)
024 7 $a 10.1007/978-981-97-1335-6 $2 doi
035 $a 978-981-97-1335-6
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYT $2 thema
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b I61 2023
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) $h [electronic resource] : $b medical imaging and computer-aided diagnosis / $c edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi.
246 3 $a MICAD 2023
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xiv, 406 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Lecture notes in electrical engineering, $x 1876-1119 ; $v v. 1166
505 0 $a Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.
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. This book includes the state-of-the-art research of computer-aided diagnosis systems with aritificial intelligence. 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 Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Computer and Information Systems Applications. $3 913125
700 1 $a Su, Ruidan. $3 884365
700 1 $a Zhang, Yu-Dong. $3 863845
700 1 $a Frangi, Alejandro F. $3 229576
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/10.1007/978-981-97-1335-6
950 $a Computer Science (SpringerNature-11645)