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Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging/ edited by Kenji Suzuki, Yisong Chen.
其他作者:
Suzuki, Kenji.
面頁冊數:
XXI, 387 p. 140 illus., 96 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-319-68843-5
ISBN:
9783319688435
Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
[electronic resource] /edited by Kenji Suzuki, Yisong Chen. - 1st ed. 2018. - XXI, 387 p. 140 illus., 96 illus. in color.online resource. - Intelligent Systems Reference Library,1401868-4394 ;. - Intelligent Systems Reference Library,67.
This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
ISBN: 9783319688435
Standard No.: 10.1007/978-3-319-68843-5doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
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