Digital Image Quality in Medicine (Understanding Medical Informatics) 🔍
Oleg S. Pianykh (auth.) Springer International Publishing, Understanding Medical Informatics, Understanding medical informatics, 2014, 2014
英语 [en] · PDF · 5.2MB · 2014 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
Making a good diagnostic image is only the beginning; keeping it good and diagnostically sound is a much more difficult proposition, one that is often neglected or forgotten by clinical practitioners. With anything digital, the assumption of persistent original quality opens a Pandora’s box of medical fiascos. Poorly selected image interpolation, thoughtlessly used compression, confused image enhancement options and the like can transform a good original into a useless clutter of pixels. This book is dedicated to learning better options. Intended for physicians, clinical practitioners and applications specialists, it provides a well-rounded introduction to meaningful diagnostic image housekeeping. The book presents the most important aspects of safe digital image workflows, starting from the basic practical implications and gradually uncovering the underlying concepts and algorithms. With an easy-to-follow, down-to-earth presentation style, the text helps you to optimize your diagnostic imaging projects and connect the dots of medical informatics.
Erscheinungsdatum: 08.11.2013
备用文件名
lgli/10.1007%2F978-3-319-01760-0.pdf
备用文件名
lgrsnf/10.1007%2F978-3-319-01760-0.pdf
备用文件名
scihub/10.1007/978-3-319-01760-0.pdf
备用文件名
zlib/Science (General)/Oleg S. Pianykh/Digital Image Quality in Medicine_2204391.pdf
备选标题
Digital Image Quality in Medicine [recurso electrónico
备选作者
Pianykh, Oleg S.
备用出版商
Springer Nature Switzerland AG
备用出版商
Springer London, Limited
备用版本
Understanding Medical Informatics, How it really works, uuuu
备用版本
Understanding medical informatics, Cham, 2013
备用版本
Understanding medical informatics, Cham, 2014
备用版本
Springer Nature, Cham, 2013
备用版本
Switzerland, Switzerland
备用版本
2014, PS, 2013
备用版本
2014, FR, 2013
备用版本
Oct 22, 2013
元数据中的注释
lg1505265
元数据中的注释
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元数据中的注释
Source title: Digital Image Quality in Medicine (Understanding Medical Informatics)
备用描述
Making a good diagnostic image is only the beginning; keeping it good and diagnostically sound is a much more difficult proposition, one that is often neglected or forgotten by clinical practitioners. With anything digital, the assumption of persistent original quality opens a Pandora's box of medical fiascos. Poorly selected image interpolation, thoughtlessly used compression, confused image enhancement options and the like can transform a good original into a useless clutter of pixels. This book is dedicated to learning better options. Intended for physicians, clinical practitioners and applications specialists, it provides a well-rounded introduction to meaningful diagnostic image housekeeping. The book presents the most important aspects of safe digital image workflows, starting from the basic practical implications and gradually uncovering the underlying concepts and algorithms. With an easy-to-follow, down-to-earth presentation style, the text helps you to optimize your diagnostic imaging projects and connect the dots of medical informatics.​ from publisher web site
备用描述
Front Matter....Pages i-xiv
A Bit of History and Touch of Philosophy....Pages 1-5
Front Matter....Pages 7-7
Digital Images and Digital Myths....Pages 9-11
Image Interpolation....Pages 13-31
Image Compression....Pages 33-55
Front Matter....Pages 57-58
Image Enhancement....Pages 59-77
Image Quality Online....Pages 79-93
Front Matter....Pages 95-95
Image Display....Pages 97-109
DICOM Calibration and GSDF....Pages 111-122
Conclusion....Pages 123-123
备用描述
A Bit Of History And Touch Of Philosophy -- Part I. Do No Harm -- Digital Images And Digital Myths -- Image Interpolation -- Image Compression -- Part Ii. Making It Better -- Image Enhancement -- Image Quality Online -- Pt Iii. What You See Is What You Get -- Image Display -- Dicom Calibration And Csdf. Oleg S. Pianykh. Includes Bibliographical References. Mode Of Access: World Wide Web.
开源日期
2013-10-31
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