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| 020 | ▼a9789819713356▼9978-981-97-1335-6 | |
| 024 | ▼a10.1007/978-981-97-1335-6▼2doi | |
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| 245 | 00 | ▼aProceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)▼h[electronic resource] :▼bMedical Imaging and Computer-Aided Diagnosis /▼cedited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi. |
| 250 | ▼a1st ed. 2024. | |
| 264 | ▼aSingapore :▼bSpringer Nature Singapore :▼bImprint: Springer,▼c2024. | |
| 300 | ▼aXIV, 406 p. 171 illus., 138 illus. in color.▼bonline resource. | |
| 336 | ▼atext▼btxt▼2rdacontent | |
| 337 | ▼acomputer▼bc▼2rdamedia | |
| 338 | ▼aonline resource▼bcr▼2rdacarrier | |
| 347 | ▼atext file▼bPDF▼2rda | |
| 490 | ▼aLecture Notes in Electrical Engineering,▼x1876-1119 ;▼v1166 | |
| 505 | ▼aMedical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others. | |
| 520 | ▼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. 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 | ▼aImage processing▼xDigital techniques. | |
| 650 | ▼aComputer vision. | |
| 650 | ▼aApplication software. | |
| 650 | ▼aComputer Imaging, Vision, Pattern Recognition and Graphics. | |
| 650 | ▼aComputer and Information Systems Applications. | |
| 700 | ▼aSu, Ruidan.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aZhang, Yu-Dong.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aFrangi, Alejandro F.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 710 | ▼aSpringerLink (Online service) | |
| 773 | ▼tSpringer Nature eBook | |
| 776 | ▼iPrinted edition:▼z9789819713349 | |
| 776 | ▼iPrinted edition:▼z9789819713363 | |
| 776 | ▼iPrinted edition:▼z9789819713370 | |
| 830 | ▼aLecture Notes in Electrical Engineering,▼x1876-1119 ;▼v1166 | |
| 856 | ▼uhttps://doi.org/10.1007/978-981-97-1335-6 | |
| 912 | ▼aZDB-2-SCS | |
| 912 | ▼aZDB-2-SXCS | |
| 950 | ▼aComputer Science (SpringerNature-11645) | |
| 950 | ▼aComputer Science (R0) (SpringerNature-43710) |
Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)[electronic resource] :Medical Imaging and Computer-Aided Diagnosis /edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi
Material type
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Title
Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)[electronic resource] :Medical Imaging and Computer-Aided Diagnosis /edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi
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판 사항
1st ed. 2024.
Physical Description
XIV, 406 p 171 illus, 138 illus in color online resource.
Keyword
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.
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