Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing
暫譯: 人工智慧與機器學習在2D/3D醫學影像處理中的應用
Raja, Rohit, Kumar, Sandeep, Rani, Shilpa
- 出版商: CRC
- 出版日期: 2020-12-23
- 售價: $4,910
- 貴賓價: 9.5 折 $4,665
- 語言: 英文
- 頁數: 214
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367374358
- ISBN-13: 9780367374358
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相關分類:
人工智慧、Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management.
Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology.
This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems.
This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning.
FEATURES
- Highlights the framework of robust and novel methods for medical image processing techniques
- Discusses implementation strategies and future research directions for the design and application requirements of medical imaging
- Examines real-time application needs
- Explores existing and emerging image challenges and opportunities in the medical field
商品描述(中文翻譯)
數位影像具有多項優點，例如處理速度快且成本低廉、儲存和傳輸方便、即時品質評估、在保持品質的情況下可多次複製、迅速且經濟的重製，以及靈活的操作。數位醫學影像在日常生活中扮演著重要角色。醫學影像學是產生人體內部結構可見影像的過程，旨在進行科學和醫療研究及治療，並觀察內部組織的功能。這一過程旨在識別和管理疾病。
2D 和 3D 醫學影像包括許多技術和操作，例如影像獲取、儲存、呈現和傳輸。2D 和 3D 影像可以在多個維度中進行處理。根據特定問題的需求，必須識別 2D 或 3D 影像的各種特徵，並應用適當的演算法。這些影像處理技術始於1960年代，並應用於太空、臨床用途、藝術和電視影像改善等領域。1970年代，隨著計算機系統的發展，影像處理的成本降低，處理速度變快。到了2000年代，影像處理變得更快、成本更低且更簡單。在2020年代，影像處理已成為更準確、更高效且具自我學習能力的技術。
本書強調了2D和3D醫學影像處理技術的穩健和新穎方法的框架。各章節探討了醫學領域中現有和新興的影像挑戰與機會，並使用各種醫學影像處理技術。本書討論了人工智慧和機器學習在醫學影像處理中的即時應用。作者還討論了這些系統的設計和應用需求的實施策略和未來研究方向。
本書將惠及醫學影像處理領域的研究人員，以及希望促進不同學科研究人員之間相互理解的那些人，這些學科涉及人工智慧和機器學習。
特點
- 突出醫學影像處理技術的穩健和新穎方法的框架
- 討論醫學影像的設計和應用需求的實施策略和未來研究方向
- 檢視即時應用需求
- 探索醫學領域中現有和新興的影像挑戰與機會
作者簡介
Rohit Raja is working as associate professor in the IT Department at the Guru Ghasidas, Vishwavidyalaya, Bilaspur (CG). He has done PhD in Computer Science and Engineering in 2016 from C. V. Raman University, India. His primary research interests include face recognition, signal processing and networking and data mining. He has successfully filed 10 patents. He has 80 research publications to his credit in various international/national journals (including IEEE, Springer etc.) and in proceedings of reputed international/national conferences (including Springer and IEEE). He was invited thrice as a guest in Scopus indexed IEEE/Springer conferences. He has been invited four times, being an expert, in various colleges and universities in India. He has the following awards to his credit: "Excellence in Research" Award under the category of HEI Professor by Auropath Global Awards, 2019; the "Distinguished Research Award", I2OR Awards 2019, during the 4th International Conclave on Interdisciplinary Research for Sustainable Development 2020 (IRSD 2020); and the second runner up award in grand finale of Smart India Hackathon, 2017, Ministry of Skill Development and Entrepreneurship, Government of India.
He is a member of professional international society including IEEE, ISTE, CSI, ACM etc. He is editor/reviewer of many peer-reviewed and refereed journals (including IEEE, Springer, enderscience).
Sandeep Kumar is presently working as a professor in the Department of Electronics & Communication Engineering, Sreyas Institute of Engineering & Technology, Hyderabad, India. He has good academic and research experience in various areas of electronics and communication. His areas of research include embedded system, image processing, biometrics and machine learning. He has successfully filed eight patents - seven national and one international. He was invited thrice as a guest in Scopus indexed IEEE/Springer conferences. He has been invited four times, being an expert, in various colleges and universities in India. He has published 70 research papers in various international/national journals (including IEEE, Springer etc.) and in the proceedings of the reputed international/national conferences (including Springer and IEEE). He has been awarded the "Best Paper Presentation" award in Nepal and in India, respectively, 2017 and 2018. He has been awarded the "Best Performer Award" in Hyderabad, India, 2018. He has also been awarded the "Young Researcher Award" in Thailand, 2018, and the "Best Excellence Award" in Delhi, 2019. He is an active member of 17 professional international societies. He has been nominated in the board of editors/reviewers of 25 peer-reviewed and refereed journals (including IEEE and Springer). He has conducted three international conferences and six workshops. He is also attended 24 seminars, workshops and short-term courses in IITs etc. He is a research guide for a number of Ph.D and M.Tech students.
Shilpa Rani is presently working as an assistant professor in the Department of Computer Science and Engineering, Neil Gogte Institute of Technology, Hyderabad, India. She has good academic and research experience in various areas of computer science. Her area of research includes image processing, IOT, and big data. She has successfully filed three patents. She has published a number of research papers in various international/national journals (including IEEE, Springer etc.). She has been awarded the gold medal in 2012 during M.Tech. She is an active member of 10 professional international societies. She has been nominated in the board of editors/reviewers of four peer-reviewed and refereed journals. She has also attended 15 seminars, workshops and short-term courses in JNTUH and others. She has published two text books Logical & Functional Programming, Ashirwad Publication, 2009-2010 and Software Engineering, VAYU Education of India, 2011. Her third book has been accepted at an international level by Taylor & Francis, USA
K. Ramya Laxmi has worked as team lead and senior software developer at InfoTech Pvt Ltd for four years. Presently she is working as associate professor in the CSE Department at the Sreyas Institute of Engineering and Technology, Hyderabad. Her research interests cover the fields of data mining, machine learning and image processing. She has good academics and research experience in various areas of Computer Science. She has good hands-on-experience in PHP and Python and has knowledge of tools such as Pentaho and Weka, and is apt at analysing statistics using R-Programming.
作者簡介(中文翻譯)
**Rohit Raja** 目前擔任比拉斯普爾（CG）古爾·加西達斯大學資訊科技系的副教授。他於2016年在印度C. V. Raman大學獲得計算機科學與工程的博士學位。他的主要研究興趣包括人臉識別、信號處理、網絡和數據挖掘。他成功申請了10項專利。他在各種國際/國內期刊（包括IEEE、Springer等）和著名國際/國內會議（包括Springer和IEEE）的會議論文中發表了80篇研究論文。他曾三次受邀參加Scopus索引的IEEE/Springer會議。他四次受邀作為專家，前往印度的各大學和學院。他獲得的獎項包括：2019年由Auropath Global Awards頒發的高等教育機構教授類別的「研究卓越獎」；在2020年第四屆可持續發展跨學科研究國際會議（IRSD 2020）中獲得的「傑出研究獎」，I2OR Awards 2019；以及2017年印度政府技能發展與創業部主辦的Smart India Hackathon總決賽的亞軍獎。
**Sandeep Kumar** 目前擔任印度海得拉巴Sreyas工程與技術學院電子與通信工程系的教授。他在電子與通信的各個領域擁有良好的學術和研究經驗。他的研究領域包括嵌入式系統、圖像處理、生物識別和機器學習。他成功申請了八項專利，其中七項為國內專利，一項為國際專利。他曾三次受邀參加Scopus索引的IEEE/Springer會議。他四次受邀作為專家，前往印度的各大學和學院。他在各種國際/國內期刊（包括IEEE、Springer等）和著名國際/國內會議的會議論文中發表了70篇研究論文。他在2017年和2018年分別在尼泊爾和印度獲得「最佳論文報告獎」。他在2018年獲得印度海得拉巴的「最佳表現獎」。他還在2018年獲得泰國的「青年研究者獎」和2019年德里的「最佳卓越獎」。他是17個專業國際學會的活躍成員。他被提名為25本同行評審和審稿期刊（包括IEEE和Springer）的編輯/審稿委員會成員。他舉辦了三場國際會議和六場研討會。他還參加了24場研討會、工作坊和短期課程（如IIT等）。他是多位博士和碩士學生的研究指導老師。
**Shilpa Rani** 目前擔任印度海得拉巴Neil Gogte技術學院計算機科學與工程系的助理教授。她在計算機科學的各個領域擁有良好的學術和研究經驗。她的研究領域包括圖像處理、物聯網（IOT）和大數據。她成功申請了三項專利。她在各種國際/國內期刊（包括IEEE、Springer等）上發表了多篇研究論文。她在2012年獲得M.Tech的金獎。她是10個專業國際學會的活躍成員。她被提名為四本同行評審和審稿期刊的編輯/審稿委員會成員。她還參加了15場研討會、工作坊和短期課程（如JNTUH等）。她出版了兩本教科書《邏輯與功能編程》（Logical & Functional Programming），Ashirwad出版，2009-2010年，以及《軟體工程》（Software Engineering），印度VAYU教育，2011年。她的第三本書已被美國Taylor & Francis國際接受。
**K. Ramya Laxmi** 在InfoTech Pvt Ltd擔任團隊負責人和高級軟體開發人員四年。目前，她在海得拉巴的Sreyas工程與技術學院計算機科學與工程系擔任副教授。她的研究興趣涵蓋數據挖掘、機器學習和圖像處理等領域。她在計算機科學的各個領域擁有良好的學術和研究經驗。她在PHP和Python方面有良好的實踐經驗，並且熟悉Pentaho和Weka等工具，擅長使用R語言進行統計分析。
