Hybrid Image Processing Methods for Medical Image Examination
暫譯: 醫學影像檢查的混合影像處理方法

考量到透過混合（結合閾值處理和分割）影像處理方法對醫療數據集（影像）進行檢查所期望的更佳結果，本書專注於實現可能的醫療影像混合檢查技術。它描述了各種影像閾值處理和分割方法，這些方法對於開發這種混合處理工具至關重要。此外，本書提供了必要的細節，例如測試影像的準備、所選閾值操作的實施、閾值影像的評估，以及分割程序的實施及其評估，並輔以相關的案例研究。本書旨在針對醫療影像處理領域的研究人員/研究生、影像處理和計算機工程，內容包括：

- 提供各種影像閾值處理和分割技術的廣泛背景
- 討論各種評估指標和混淆矩陣的資訊
- 提出將閾值技術與生物啟發算法整合的建議
- 探索包括MRI、CT、皮膚鏡檢查和超聲影像的案例研究
- 包含有關醫療影像處理的機器學習和深度學習的獨立章節

Venkatesan Rajinikanth is a Professor in Department of Electronics and Instrumentation Engineering at St. Joseph's College of Engineering, Chennai 600119, Tamilnadu, India. Recently he edited a book titled 'Advances in Artificial Intelligence Systems', Nova Science publisher, USA. He has published more than 75 papers. He is the Associate Editor of Int. J. of Rough Sets and Data Analysis (IGI Global, US, DBLP, ACM dl) and Editing/Edited Special Issues in journals, such as Current Signal Transduction Therapy (Bentham Science), Current Medical Imaging Reviews (Bentham Science) and International Journal of Swarm Intelligence Research (IGI Global). He recently published an Indian patent titled 'Disease Diagnosis System based on Electromyography'. His main research interests include Medical Imaging, Machine learning, and Computer Aided Diagnosis. Research Gate: https: //www.researchgate.net/profile/Venkatesan_Rajinikanth E. Priya completed her Ph.D at MIT Campus, Anna University in the field of "Automated analysis using image processing and artificial intelligence for the diagnosis of tuberculosis images". At present she is a Professor at the Department of Electronics and Communication Engineering, Sri Sairam Engineering College, Affiliated to Anna University, Chennai. She has 17 years of teaching experience, 4 years of research experience and 3 years of industrial experience. She is a recipient of DST-PURSE fellow and a project participant of India-South African collaborative project titled "Development of computing tools for decision support in health assessment in rural areas". Her areas of interest include bio-medical imaging, image processing, signal processing, application of artificial intelligence and machine learning techniques. She has published papers in refereed International Journals, Conferences and book chapters in the area of medical imaging and infectious diseases. Research Gate: https: //www.researchgate.net/profile/Ebenezer_Priya Hong Lin holds a Ph.D. in Computer Science. His graduate work includes theoretical and empirical studies of parallel programming models and implementations. Dr. Lin has worked on large-scale computational biology at Purdue University, active networks at the National Research Council Canada, and network security at Nokia, Inc. Dr. Lin joined UHD at 2001 and he is currently a professor in computer science. He has worked on parallel computing, multi-agent systems, and affective computing since he joined UHD. He established the Grid Computing Lab at UHD through an NSF MRI grant. He has been a Scholars Academy mentor, an REU faculty mentor, and a CAHSI faculty mentor. His research interests include parallel/distributed computing, data analytics, and human-centered computing. He is a senior member of the ACM. Dr. Lin is the Chair of the inspiring conference series 'Workshop on Computer Science and Engineering (WCSE)'. Research Gate: https: //www.researchgate.net/profile/Hong_Lin5 Fuhua (Oscar) Lin is a Professor of School of Computing and Information Systems, Athabasca University, Canada. Further, Dr. Lin is also acting as guest professor in Waseda University (Japan) and China Jiliang University (China). Dr. Lin is a senior member in ACM and IEEE. He served as program committee member for various international conferences including the recent conferences, such as EduTrainment (2019), Canadian AI conference (2019), Intelligent Tutoring systems (2019) and General Executive Chair for the 4th IEEE CyberSciTech-2019. Further, he has received various prestigious awards including 'Outstanding Leadership Award' by IEEE in the year 2018. Dr. Lin has published more than 100 papers. His main research interests include Artificial Intelligence, Virtual Reality, e-Learning, Industrial Engineering, and Mathematical Modelling. Research Gate: https: //www.researchgate.net/profile/Fuhua_Lin2

Venkatesan Rajinikanth 是印度泰米爾納德邦金奈聖約瑟夫工程學院電子與儀器工程系的教授。他最近編輯了一本名為《人工智慧系統的進展》的書籍，由美國Nova Science出版社出版。他已發表超過75篇論文。他是《國際粗集與數據分析期刊》（Int. J. of Rough Sets and Data Analysis，IGI Global，美國，DBLP，ACM dl）的副編輯，並在《當前信號轉導療法》（Current Signal Transduction Therapy，Bentham Science）、《當前醫學影像評論》（Current Medical Imaging Reviews，Bentham Science）和《國際群體智慧研究期刊》（International Journal of Swarm Intelligence Research，IGI Global）等期刊編輯/編輯特刊。他最近發表了一項名為《基於肌電圖的疾病診斷系統》的印度專利。他的主要研究興趣包括醫學影像、機器學習和計算機輔助診斷。Research Gate: https://www.researchgate.net/profile/Venkatesan_Rajinikanth

E. Priya 在安娜大學MIT校區完成了她的博士學位，研究領域為「使用影像處理和人工智慧進行結核病影像診斷的自動化分析」。目前她是金奈Sri Sairam工程學院電子與通信工程系的教授，該學院隸屬於安娜大學。她擁有17年的教學經驗、4年的研究經驗和3年的工業經驗。她是DST-PURSE獎學金獲得者，並參與印度與南非的合作項目，該項目名為「為農村地區健康評估決策支持開發計算工具」。她的研究興趣包括生醫影像、影像處理、信號處理、人工智慧和機器學習技術的應用。她在醫學影像和傳染病領域的國際期刊、會議和書籍章節中發表了論文。Research Gate: https://www.researchgate.net/profile/Ebenezer_Priya

Hong Lin 擁有計算機科學博士學位。他的研究生工作包括平行編程模型及其實現的理論和實證研究。Lin博士曾在普渡大學從事大規模計算生物學研究，在加拿大國家研究委員會從事主動網絡研究，並在Nokia, Inc.從事網絡安全研究。Lin博士於2001年加入UHD，目前是計算機科學的教授。自加入UHD以來，他一直從事平行計算、多代理系統和情感計算的研究。他通過NSF MRI資助建立了UHD的網格計算實驗室。他曾擔任學者學院導師、REU教職導師和CAHSI教職導師。他的研究興趣包括平行/分佈式計算、數據分析和以人為中心的計算。他是ACM的資深會員。Lin博士是啟發性會議系列「計算機科學與工程研討會（WCSE）」的主席。Research Gate: https://www.researchgate.net/profile/Hong_Lin5

Fuhua (Oscar) Lin 是加拿大阿薩巴斯大學計算與信息系統學院的教授。此外，Lin博士還擔任日本早稻田大學和中國計量大學的客座教授。Lin博士是ACM和IEEE的資深會員。他曾擔任多個國際會議的程序委員會成員，包括最近的會議，如EduTrainment（2019）、加拿大人工智慧會議（2019）、智能輔導系統（2019）以及第四屆IEEE CyberSciTech-2019的總執行主席。此外，他還獲得了包括2018年IEEE頒發的「傑出領導獎」在內的多項榮譽獎項。Lin博士已發表超過100篇論文。他的主要研究興趣包括人工智慧、虛擬現實、電子學習、工業工程和數學建模。Research Gate: https://www.researchgate.net/profile/Fuhua_Lin2