Artificial Intelligence and Data Analytics in Medical Imaging
暫譯: 醫學影像中的人工智慧與數據分析
Hayre, Christopher, Davidson, Rob, Chau, Shayne
相關主題
商品描述
This edited book focuses on the application of AI and data analytics within medical imaging with contributions focussing on general radiography, cross-sectional imaging, and breast imaging.
Artificial Intelligence and Data Analytics in Medical Imaging leverages the expertise of key practitioners, academics, and researchers who are recognised leaders in their respective fields. The chapters cover essential topics, including imaging modalities, radiotherapy and future recommendations. The editors incorporate insights from recent publications and clinical practice, addressing how emerging technologies should be managed, implemented, and adapted in healthcare settings. Each chapter maintains a patient-centred focus while connecting to key literature in the field.
This book acts as a cornerstone for undergraduate students, but importantly signposts to other key texts within the field of medical imaging. Further, academics will also find this text useful as it aims to enrich scholarly learning, teaching, and assessment to healthcare programmes nationally and internationally.
商品描述(中文翻譯)
這本編輯書籍專注於人工智慧（AI）和數據分析在醫學影像中的應用，內容涵蓋一般放射學、橫斷面影像和乳腺影像的貢獻。
《人工智慧與醫學影像中的數據分析》利用了在各自領域中被認可的專家、學者和研究人員的專業知識。各章節涵蓋了重要主題，包括影像模式、放射治療和未來建議。編輯們整合了近期出版物和臨床實踐的見解，探討新興技術在醫療環境中應如何管理、實施和調整。每一章都保持以病人為中心的焦點，同時與該領域的關鍵文獻相連結。
這本書作為本科生的基石，但同時也指引讀者參考醫學影像領域中的其他重要文本。此外，學術界也會發現這本書的價值，因為它旨在豐富全國及國際醫療課程的學術學習、教學和評估。
作者簡介
Christopher Hayre is an Associate Professor at Monash University, Australia. He holds an Adjunct Professor position with RMIT University, Australia and Fiji National University. He has published on a range of topics involving qualitative and quantitative papers and brought together several books in the field of medical imaging, health research, technology, and ethnography. His work has influence policy in the United Kingdom and was recently citied in the top 20 (11/20) of most prolific researchers in professional radiography journals in a ten-year period.
Rob Davidson retired from the University of Canberra (UC) in February 2020. He was honoured by UC on his retirement as an Emeritus Professor and is also an Adjunct Research Professor at Fiji National University. Prof. Davidson's research focus is on dose/image quality in planar radiography and CT and digital image processing in medical imaging. He is part of an international team looking at new imaging methods for improved detection of prostate cancer. He has been a Chief Investigator in multiple research grants; has over 70 peer reviewed publications; authored a book on mammography physic including a chapter on artificial intelligence in mammography; has authored/co-authored six book chapters; been the keynote speaker at multiple international conferences; supervised/co-supervised approximately 20 PhD and Masters by Research students; and examined multiple higher degree by research theses.
Shayne Chau is a Senior Lecturer in Diagnostic Radiography at Charles Sturt University, Adjunct Senior Lecturer at the University of Exeter, and Adjunct Staff at the University of Canberra and Vin University. Shayne is a fellow of both the Higher Education Academy (UK) and the Australian Society of Medical Imaging and Radiation Therapy. He is an internationally published researcher with over 65 peer-reviewed journal articles, multiple textbooks, and book chapters in radiography, computed tomography, neuroimaging, and person-centred care.
Xiaoming Zheng is a Senior Lecturer in Medical Physics at Charles Sturt University. He was a PACS administrator while he was working at the Department of Nuclear Medicine at the Prince of Wales Hospital Sydney from 1995 to 1998. He has been teaching Digital Image Processing and Imaging Informatics in Medical Radiation Science Course at Charles Sturt University since 1998.
Abel Zhou is an Assistant Professor at the Singapore Institute of Technology. His research focuses on X-ray scatter reduction techniques and the application of artificial intelligence in medical imaging. He also employs Monte Carlo simulations to evaluate and optimize X-ray imaging performance and patient radiation dose. In addition, he teaches courses on Artificial Intelligence in Medical Imaging, Healthcare and Radiological Informatics, and Radiation Risk Management.
Nigel Frame is a Lecturer in Radiation Therapy and Radiation Protection at Charles Sturt University. He is a Doctoral student examining the role religion has played in onco-suppression.
作者簡介(中文翻譯)
克里斯多福·海爾（Christopher Hayre）是澳洲莫納什大學（Monash University）的副教授。他同時擔任澳洲皇家墨爾本理工大學（RMIT University）和斐濟國立大學（Fiji National University）的兼任教授。他在醫學影像、健康研究、技術和人種誌等領域發表了多篇質性和量性論文，並編輯了幾本相關書籍。他的研究對英國的政策產生了影響，並且最近在十年內的專業放射學期刊中被引用為最具生產力的研究者之一，排名前20名（11/20）。
羅伯·戴維森（Rob Davidson）於2020年2月從堪培拉大學（University of Canberra）退休。在退休時，堪培拉大學授予他名譽教授的榮譽，他同時也是斐濟國立大學的兼任研究教授。戴維森教授的研究重點是平面放射學和CT中的劑量/影像質量，以及醫學影像中的數位影像處理。他是國際團隊的一員，專注於改進前列腺癌檢測的新影像方法。他曾擔任多個研究計畫的首席研究員，擁有超過70篇經過同行評審的出版物；撰寫了一本關於乳房攝影物理的書籍，其中包括一章關於乳房攝影中的人工智慧；撰寫/共同撰寫了六個書籍章節；在多個國際會議上擔任主題演講者；指導/共同指導約20名博士及研究碩士生；並審查多篇高級研究學位論文。
肖恩·周（Shayne Chau）是查爾斯·斯圖特大學（Charles Sturt University）診斷放射學的高級講師，並擔任埃克塞特大學（University of Exeter）的兼任高級講師，以及堪培拉大學和文大學（Vin University）的兼任教職。肖恩是英國高等教育學院（Higher Education Academy）和澳洲醫學影像與放射治療學會（Australian Society of Medical Imaging and Radiation Therapy）的會員。他是一位國際發表的研究者，擁有超過65篇經過同行評審的期刊文章，以及多本教科書和書籍章節，涵蓋放射學、電腦斷層掃描、神經影像學和以人為本的護理。
鄭曉明（Xiaoming Zheng）是查爾斯·斯圖特大學的醫學物理高級講師。他在1995年至1998年間於悉尼威爾斯親王醫院（Prince of Wales Hospital）核醫學部擔任PACS管理員。自1998年以來，他一直在查爾斯·斯圖特大學教授醫學輻射科學課程中的數位影像處理和影像資訊學。
周阿貝爾（Abel Zhou）是新加坡科技大學（Singapore Institute of Technology）的助理教授。他的研究專注於X光散射減少技術以及人工智慧在醫學影像中的應用。他還利用蒙地卡羅模擬來評估和優化X光影像性能及患者輻射劑量。此外，他教授有關醫學影像中的人工智慧、醫療保健與放射資訊學以及輻射風險管理的課程。
奈傑爾·弗雷姆（Nigel Frame）是查爾斯·斯圖特大學的放射治療和輻射防護講師。他是一名博士生，研究宗教在腫瘤抑制中的角色。
