Big Data in Multimodal Medical Imaging
暫譯: 多模態醫學影像中的大數據
El-Baz, Ayman, Suri, Jasjit S.
- 出版商: CRC
- 出版日期: 2021-06-30
- 售價: $2,350
- 貴賓價: 9.5 折 $2,233
- 語言: 英文
- 頁數: 330
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032087277
- ISBN-13: 9781032087276
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相關分類:
大數據 Big-data
海外代購書籍(需單獨結帳)
相關主題
商品描述
There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.
商品描述(中文翻譯)
有迫切的需求來開發和整合新的統計、數學、視覺化和計算模型，以分析大數據，從中提取有用的信息，幫助臨床醫生準確診斷和治療病人。本書的主要重點是回顧和總結最先進的大數據和深度學習方法，以分析和整合多種數據類型，創建決策矩陣，幫助臨床醫生早期診斷和識別高風險的人類疾病和障礙。領先的研究者將貢獻原創研究書章，分析解決這些重要問題的努力。
作者簡介
Ayman El-Baz, Ph.D., Professor, University Scholar, and Chair of Bioengineering Department at the University of Louisville, KY. Dr. El-Baz earned his bachelor's and master degrees in Electrical Engineering in 1997 and 2001. He earned his doctoral degrees in electrical engineering from the University of Louisville in 2006. In 2009, Dr. El-Baz was named a Coulter Fellow for his contribution in the biomedical translational research. Dr El-Baz has 15 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 300 technical articles (87 journals, 9 books, 39 book chapters, 144 refereed-conference papers, 74 abstracts published in proceedings, and 12 US patents).
Jasjit S. Suri, an innovator, a visionary, a scientist, and an internationally-known world leader, has spent about 30 years in the field of biomedical engineering/sciences, software and hardware engineering and its management. During his career in biomedical industry/imaging, he has had an upstream growth and responsibilities from scientific Engineer, Scientist, Manager, Director R&D, Sr. Director, Vice President, Chief Technology Officer (CTO), CEO level positions in industries like Siemens Medical Systems, Philips Medical Systems, Fisher Imaging Corporation and Eigen Inc., Global Biomedical Technologies Inc., AtheroPoint(TM), respectively and managed unto a maximum of 50 to 100 people. He is currently the Chairman of Global Biomedical Technologies, Inc., CA, USA.
作者簡介(中文翻譯)
Ayman El-Baz, Ph.D.，路易斯維爾大學生物工程系教授、學者及系主任。El-Baz博士於1997年和2001年分別獲得電機工程學士及碩士學位，並於2006年在路易斯維爾大學獲得電機工程博士學位。2009年，El-Baz博士因其在生物醫學轉譯研究方面的貢獻而被授予Coulter Fellow。El-Baz博士在生物影像建模和非侵入式電腦輔助診斷系統領域擁有15年的實務經驗。他已發表或共同發表超過300篇技術文章（87篇期刊、9本書、39章書籍、144篇經審稿的會議論文、74篇會議摘要及12項美國專利）。
Jasjit S. Suri，一位創新者、願景家、科學家及國際知名的世界領袖，在生物醫學工程/科學、軟體和硬體工程及其管理領域工作了約30年。在他的生物醫學產業/影像職業生涯中，他從科學工程師、科學家、經理、研發總監、高級總監、副總裁、首席技術官（CTO）到首席執行官（CEO）等職位，逐步成長並承擔責任，曾在西門子醫療系統、飛利浦醫療系統、Fisher Imaging Corporation和Eigen Inc.、Global Biomedical Technologies Inc.、AtheroPoint(TM)等產業工作，管理人數最多可達50至100人。目前，他是美國加州Global Biomedical Technologies, Inc.的董事長。
