Deep Learning in Biomedical Signal and Medical Imaging
Singh, Ngangbam Herojit, Kose, Utku, Gochhayat, Sarada Prasad
- 出版商: CRC
- 出版日期: 2024-09-30
- 售價: $6,080
- 貴賓價: 9.5 折 $5,776
- 語言: 英文
- 頁數: 256
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032622601
- ISBN-13: 9781032622606
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相關分類:
DeepLearning
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相關主題
商品描述
This book offers detailed information on biomedical imaging using Deep Convolutional Neural Networks (Deep CNN). It focuses on different types of biomedical images to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis and image processing perspectives.
Deep Learning in Biomedical Signal and Medical Imaging discusses classification, segmentation, detection, tracking, and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT, and X-RAY, amongst others. It surveys the most recent techniques and approaches in this field, with both broad coverage and enough depth to be of practical use to working professionals. It includes examples of the application of signal and image processing employing Deep CNN to Alzheimer's, brain tumor, skin cancer, breast cancer, and stroke prediction, as well as ECG and EEG signals. This book offers enough fundamental and technical information on these techniques, approaches, and related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of Deep CNN for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine the fundamental theory of artificial intelligence (AI), machine learning (ML, ) and Deep CNN with practical applications in biology and medicine. Certainly, the list of topics covered in this book is not exhaustive, but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis.
The book is written for graduate students, researchers, and professionals in biomedical engineering, electrical engineering, signal process engineering, biomedical imaging, and computer science. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educators who are working in the context of the topics.
商品描述(中文翻譯)
本書提供有關生物醫學影像使用深度卷積神經網絡（Deep CNN）的詳細資訊。它專注於不同類型的生物醫學影像，以幫助讀者理解其有效性和潛力。內容涵蓋疾病診斷和影像處理的觀點。
《生物醫學信號與醫學影像中的深度學習》討論了非侵入性方法的分類、分割、檢測、追蹤和檢索應用，如腦電圖（EEG）、心電圖（ECG）、肌電圖（EMG）、磁共振成像（MRI）、功能性磁共振成像（fMRI）、電腦斷層掃描（CT）和X光等。它調查了該領域最新的技術和方法，涵蓋面廣且深度足夠，對於在職專業人士具有實用價值。書中舉例說明了使用深度卷積神經網絡進行信號和影像處理的應用，包括阿茲海默症、腦腫瘤、皮膚癌、乳腺癌和中風預測，以及心電圖和腦電圖信號。本書提供了足夠的基礎和技術資訊，涵蓋這些技術、方法及相關問題，而不會讓讀者感到困惑。它展示了在生物醫學數據分析領域最新研究的結果。本書中介紹的技術和方法涉及該領域中最重要和/或最新的主題，結合了人工智慧（AI）、機器學習（ML）和深度卷積神經網絡的基本理論，並在生物學和醫學中應用。當然，本書所涵蓋的主題並不詳盡，但這些主題將闡明所呈現技術和方法對生物醫學數據分析其他主題的影響。
本書是為生物醫學工程、電機工程、信號處理工程、生物醫學影像和計算機科學的研究生、研究人員和專業人士所撰寫。書中涵蓋的針對醫療和生物醫學應用的具體和創新解決方案，對於在相關主題領域工作的科學家、研究人員、實踐者、專業人士和教育者至關重要。
作者簡介
Ngangbam Herojit Singh is presently working as an Assistant Professor at NIT Agartala in the Department of Computer Science and Engineering. He received his Ph.D. degree from the NIT Manipur, and M.Tech and B.Tech from Anna University, Chennai. His area of interest includes machine learning, biomedical image processing, hybrid intelligent system, and mobile robotics. He has published more than 12 referred journals, including SCI and Scopus-indexed journals. Furthermore, he has published many conference papers and book chapters. Dr. Herojit has participated in many international conferences as an organizer and session chair.
Utku Kose received a B.S. degree in 2008 in computer education from Gazi University, Turkey, as a faculty valedictorian; an M.S. degree in 2010 from Afyon Kocatepe University, Turkey, in the field of computer; and a D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey, in the field of computer engineering. Between 2009 and 2011, he worked as a research assistant at Afyon Kocatepe University. Furthermore, he has also worked as a lecturer and vocational school vice director at Afyon Kocatepe University between 2011 and 2012, as a lecturer and research center director at Usak University between 2012 and 2017, and as an assistant professor at Suleyman Demirel University between 2017 and 2019. Currently, he is an Associate Professor at Suleyman Demirel University, Turkey. He has to his credit more than 200 publications, including articles, authored and edited books, proceedings, and reports. He is also on the editorial boards of many scientific journals and serves as one of the editors of the Biomedical and Robotics Healthcare (CRC Press) book series. His research interest includes artificial intelligence, machine ethics, artificial intelligence safety, biomedical applications, optimization, chaos theory, distance education, e-learning, computer education, and computer science.
Sarada Prasad Gochhayat is currently working as an assistant teaching professor at Villanova University, Philadelphia, USA. He has earned his Ph.D. degree in communication engineering from IISc Bangalore, M. Tech. in Signal Processing from IIT Guwahati, and B. Tech. in ECE from ITER, SOA University, Bhubaneswar. He has past working experience as a faculty member at Manipal University, India, and Old Dominion University, Virginia, USA; post-doctoral research experience at the University of Padua, Italy; and Virginia Modeling, Analysis and Simulation Center, Virginia, USA. His research interests include blockchain, privacy in cloud computing, privacy-preserving data analytics, security and privacy in healthcare systems, and security in IoT and 5G networks.
作者簡介(中文翻譯)
Ngangbam Herojit Singh 目前在 NIT Agartala 的計算機科學與工程系擔任助理教授。他在 NIT Manipur 獲得博士學位，並在 Chennai 的 Anna University 獲得碩士和學士學位。他的研究興趣包括機器學習、生物醫學影像處理、混合智能系統和移動機器人。他已發表超過 12 篇被引用的期刊文章，包括 SCI 和 Scopus 索引的期刊。此外，他還發表了許多會議論文和書籍章節。Herojit 博士曾作為組織者和會議主席參加多個國際會議。
Utku Kose 於 2008 年在土耳其 Gazi University 獲得計算機教育的學士學位，並以優異成績畢業；2010 年在土耳其 Afyon Kocatepe University 獲得計算機領域的碩士學位；2017 年在土耳其 Selcuk University 獲得計算機工程領域的博士學位。2009 年至 2011 年間，他在 Afyon Kocatepe University 擔任研究助理。此外，他在 2011 年至 2012 年間擔任該校的講師和職業學校副主任，2012 年至 2017 年間在 Usak University 擔任講師和研究中心主任，2017 年至 2019 年間在 Suleyman Demirel University 擔任助理教授。目前，他是土耳其 Suleyman Demirel University 的副教授。他的著作超過 200 篇，包括文章、著作和編輯的書籍、會議論文和報告。他還擔任多本科學期刊的編輯委員會成員，並擔任 Biomedical and Robotics Healthcare (CRC Press) 書系的編輯之一。他的研究興趣包括人工智慧、機器倫理、人工智慧安全、生物醫學應用、優化、混沌理論、遠程教育、電子學習、計算機教育和計算機科學。
Sarada Prasad Gochhayat 目前在美國費城的 Villanova University 擔任助理教學教授。他在印度班加羅爾的 IISc 獲得通信工程的博士學位，在 IIT Guwahati 獲得信號處理的碩士學位，以及在 Bhubaneswar 的 ITER, SOA University 獲得電子與通信工程的學士學位。他曾在印度 Manipal University 和美國維吉尼亞州的 Old Dominion University 擔任教職，並在意大利的帕多瓦大學和美國維吉尼亞建模、分析與模擬中心擔任博士後研究。他的研究興趣包括區塊鏈、雲計算中的隱私、隱私保護數據分析、醫療系統中的安全與隱私，以及物聯網和 5G 網絡的安全性。
