Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques
暫譯: 醫學影像：人工智慧、影像辨識與機器學習技術

本書討論了與醫學影像相關的各種主題，特別是使用人工智慧 (AI)、影像識別 (IR) 和機器學習 (ML) 演算法/技術的先進或最新技術。此外，內容涵蓋了透過堆疊泛化模型分析胸部放射線影像（胸部 X 光）、使用切片分離方法進行結核病類型檢測、透過深度學習進行腦腫瘤影像分割、乳房 X 光影像中的腫塊分離、癲癇發作、乳腺超音波影像、膝關節 X 光影像、骨折檢測與標記，以及糖尿病視網膜病變。書中還回顧了生物醫學應用中的 3D 成像和病理醫學影像。

Dr. K.C. Santosh is an Assistant Professor and Graduate Program Coordinator (GPC) of the department of computer science at the University of South Dakota (USD). Also, Dr. Santosh serves School of Computing and IT, Taylor's University as an Adjunct Associate Professor. Before joining USD, Dr. Santosh worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre, Universite de Lorraine in direct collaboration with industrial partner ITESOFT, France. He also worked as a research scientist at the INRIA Nancy Grand Est research centre, France, where, in just 3 years, he has received his PhD diploma in computer science. Before that, he worked as a graduate research scholar at the SIIT, Thammasat University, Thailand. Dr. Santosh demonstrated expertise in artificial intelligence, machine learning, computer vision, pattern recognition and image processing with various applications in medical image analysis, graphics recognition, document information content exploitation, biometrics and forensics. He published more than 120 peer-reviewed research articles; two authored books (Springer) and edited several books (Springer, Elsevier and CRC press), journal issues (Springer) and conference proceedings (Springer). Dr. Santosh serves as an associate editor of the International Journal of Machine Learning & Cybernetics (Springer). For more information, visit: kc-santosh.org.

Sameer Antani, PhD is a versatile researcher leading several scientific and technical research projects. He applies his expertise in biomedical image informatics, automatic medical image interpretation, machine learning, information retrieval, computer vision, and related topics in computer science and engineering technology toward advancing the role of computational sciences in biomedical research, education, and clinical care. His current R&D projects include: an　automatic screening system　for detecting presence of Tuberculosis (TB) and other pulmonary abnormalities in digital chest x-ray images; an automatic cell counting system for　malaria　screening; retrieval of fMRI data based on activation similarity; and, the　OPEN-i^SM　biomedical image retrieval system that provides text and visual search capability to retrieve over 3.2 million images and videos from approximately 1.2 million Open Access biomedical research articles from NLM's　PubMed Central(R)　repository.His other work includes contributions to cervical cancer diagnostics through cervicography and histology image analysis; retrieval of spine x-rays from an image database using visual and shape queries; and, next generation scientific publishing.

Dr. Antani is a Senior Member of the　International Society of Photonics and Optics (SPIE), Institute of Electrical and Electronics Engineers (IEEE)　and the　IEEE Computer Society. He　serves as the Vice Chair for Computational Medicine on the　IEEE Technical Committee on Computational Life Sciences (TCCLS), and as an Associate Editor for　the IEEE Journal of Biomedical and Health Informatics

D S Guru, is a professor at the Department of Studies in Computer Science. He is known for his contributions to the field of Image Processing and Pattern Recognition. He is a recipient of BOYSCAST fellowship awarded by Department of Science and Technology, Govt of India and also Award for Research Publications by Department of Science and Technology, Karnataka Government. He has been recognized as best ethical teacher at higher learning by Rotary North Mysore. He has supervised more than 15 Ph.D. students and currently supervising many more. He holds rank positions both at Bachelors and Masters Educations. He earned his Doctorate from University of Mysore and he did his post-doctoral work at PRIP lab, Michigan State University. He has been a reviewer for international journals of Elsevier Science, Springer and IEEE Transactions. He has chaired, delivered lectures at many international conferences and workshops. He is a co-author for three text books, co-editor of three proceedings and authored many research articles both in peer reviewed journals and proceedings.

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Nilanjan Dey, PhD.　is an Assistant Professor in the Department of Information Technology at Techno India College of Technology, Kolkata, India. He is a visiting fellow of the University of Reading, UK.　 He is a Visiting Professor at Wenzhou Medical University, China and Duy Tan University, Vietnam, He was an　 honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD. from Jadavpur University in 2015.

He has authored/edited more than 45 books with Elsevier, Wiley, CRC Press and Springer, and published more than 300 papers. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global, Associate Editor of 　IEEE Access and International Journal of Information Technology, Springer. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer Nature, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC.

His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis, Data Mining, etc. He is the Indian 　Ambassador of International Federation for Information Processing (IFIP) - Young ICT Group. Recently, he has been awarded as one among the top 10 most published academics in the field of 　Computer Science in India (2015-17).　

Dr. **K.C. Santosh** 是南達科他州大學 (USD) 計算機科學系的助理教授及研究生課程協調員 (GPC)。此外，Santosh 博士還擔任泰勒大學計算與資訊學院的兼任副教授。在加入 USD 之前，Santosh 博士曾在美國國立醫學圖書館 (NLM) 國立衛生研究院 (NIH) 擔任研究員。他在法國洛林大學的 LORIA 研究中心擔任博士後研究科學家，並與工業夥伴 ITESOFT 直接合作。他還曾在法國的 INRIA Nancy Grand Est 研究中心擔任研究科學家，在短短三年內獲得計算機科學博士學位。在此之前，他曾在泰國的泰國法政大學 (Thammasat University) 擔任研究生研究學者。Santosh 博士在人工智慧、機器學習、計算機視覺、模式識別和影像處理方面展現了專業知識，並在醫學影像分析、圖形識別、文件資訊內容開發、生物識別和法醫學等多個應用領域發揮作用。他發表了超過 120 篇經過同行評審的研究文章；兩本著作 (Springer) 和編輯了多本書籍 (Springer、Elsevier 和 CRC Press)、期刊專刊 (Springer) 和會議論文集 (Springer)。Santosh 博士擔任《國際機器學習與控制論期刊》(International Journal of Machine Learning & Cybernetics) 的副編輯。欲了解更多資訊，請訪問：kc-santosh.org。

**Sameer Antani**，博士，是一位多才多藝的研究者，領導多個科學和技術研究項目。他將其在生物醫學影像資訊學、自動醫學影像解釋、機器學習、資訊檢索、計算機視覺及相關計算機科學和工程技術領域的專業知識應用於推進計算科學在生物醫學研究、教育和臨床護理中的角色。他目前的研發項目包括：一個自動篩檢系統，用於檢測數位胸部 X 光影像中結核病 (TB) 和其他肺部異常的存在；一個自動細胞計數系統，用於瘧疾篩檢；基於激活相似性的 fMRI 數據檢索；以及 OPEN-i^SM 生物醫學影像檢索系統，該系統提供文本和視覺搜索功能，能從約 120 萬篇開放存取的生物醫學研究文章中檢索超過 320 萬張影像和視頻，這些文章來自 NLM 的 PubMed Central(R) 資料庫。他的其他工作包括通過子宮頸攝影和組織學影像分析對子宮頸癌診斷的貢獻；使用視覺和形狀查詢從影像資料庫檢索脊椎 X 光；以及下一代科學出版。

Antani 博士是國際光子學與光學學會 (SPIE)、電氣與電子工程師學會 (IEEE) 和 IEEE 計算機學會的高級會員。他擔任 IEEE 計算生命科學技術委員會 (TCCLS) 的計算醫學副主席，以及 IEEE 生物醫學與健康資訊期刊的副編輯。

**D S Guru** 是計算機科學研究所的教授。他因在影像處理和模式識別領域的貢獻而聞名。他是印度科學與技術部頒發的 BOYSCAST 獎學金獲得者，並且還獲得了卡納塔克邦科學與技術部的研究出版獎。他被北邁索爾扶輪社認定為高等教育最佳道德教師。他已指導超過 15 名博士生，並目前正在指導更多學生。他在學士和碩士教育中均擔任過重要職位。他在邁索爾大學獲得博士學位，並在密歇根州立大學的 PRIP 實驗室進行博士後研究。他曾擔任 Elsevier Science、Springer 和 IEEE Transactions 的國際期刊審稿人，並在多個國際會議和研討會上擔任主席和講者。他是三本教科書的共同作者，三本會議論文集的共同編輯，並在同行評審的期刊和會議上發表了多篇研究文章。

Nilanjan Dey，博士，是印度加爾各答 Techno India College of Technology 資訊技術系的助理教授。他是英國雷丁大學的訪問研究員，並在中國溫州醫科大學和越南的 Duy Tan University 擔任訪問教授。他曾在美國加州的 Global Biomedical Technologies Inc. 擔任榮譽訪問科學家 (2012-2015)。他於 2015 年在 Jadavpur University 獲得博士學位。

他與 Elsevier、Wiley、CRC Press 和 Springer 合著或編輯了超過 45 本書籍，並發表了超過 300 篇論文。他是《國際環境計算與智慧期刊》(International Journal of Ambient Computing and Intelligence, IGI Global) 的主編，並擔任《IEEE Access》和《國際資訊技術期刊》(International Journal of Information Technology, Springer) 的副編輯。他是《Springer Tracts in Nature-Inspired Computing, Springer Nature》的系列共同編輯、《在醫療保健中普遍感知應用的進展》(Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier) 的系列編輯，以及《工程問題解決中的計算智慧和智能信號處理與數據分析》(Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC) 的系列編輯。

他的主要研究興趣包括醫學影像、機器學習、計算輔助診斷、數據挖掘等。他是國際資訊處理聯合會 (IFIP) 的印度大使 - **年輕 ICT 團體**。最近，他被評選為 2015-2017 年印度計算機科學領域發表最多的前 10 位學者之一。