Deep Learning Models towards Health Informatics Management: Foundations, Challenges and Opportunities
暫譯: 深度學習模型在健康資訊管理中的應用:基礎、挑戰與機會
Kumar, T. Ananth, Rajmohan, R., M, Niranjanamurthy
- 出版商: CRC
- 出版日期: 2026-01-13
- 售價: $7,160
- 貴賓價: 9.5 折 $6,802
- 語言: 英文
- 頁數: 332
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032392924
- ISBN-13: 9781032392929
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相關分類:
DeepLearning
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, deep learning methods for medical image analysis, and deep learning-based clinical computer-aided diagnosis systems. It further presents algorithms, models, software, and tools in the field of bioinformatics.
This book:
- Presents mathematical principles of deep learning algorithms such as convolutional neural networks, and recurrent neural networks. Discusses applications of deep learning such as hyperparameter optimization and multimodal deep learning for bioinformatics.
- Showcases how algorithms are applied to a broad range of application areas, including microscopy and pathology.
- Covers deep learning techniques such as deep feedforward networks, sequence modeling, and convolutional networks.
- Examines the importance of deep learning in biomedical image processing and enhancing biological diagnosis.
It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics, and communications engineering, computer engineering, and information technology.
商品描述(中文翻譯)
這本書提供了有關深度學習(DL)在醫療和健康應用中的全面討論,包括醫療影像分析的基本原理和當前進展、醫療影像分析的深度學習方法,以及基於深度學習的臨床電腦輔助診斷系統。它進一步介紹了生物資訊學領域的演算法、模型、軟體和工具。
這本書:
- 提出了深度學習演算法的數學原理,例如卷積神經網路(convolutional neural networks)和遞迴神經網路(recurrent neural networks)。討論了深度學習的應用,如超參數優化(hyperparameter optimization)和多模態深度學習(multimodal deep learning)在生物資訊學中的應用。
- 展示了演算法如何應用於廣泛的應用領域,包括顯微鏡學和病理學。
- 涵蓋了深度學習技術,如深度前饋網路(deep feedforward networks)、序列建模(sequence modeling)和卷積網路(convolutional networks)。
- 檢視了深度學習在生物醫學影像處理和增強生物診斷中的重要性。
這本書將成為電機工程、電子學和通信工程、計算機工程以及資訊科技等領域的高年級本科生、研究生和學術研究人員的理想參考書。
作者簡介
T. Ananth kumar is working as Research Head and Associate Professor in Computer Science and Engineering, IFET college of Engineering (Autonomous), India. He received his Ph.D. degree in VLSI Design from Manonmaniam Sundaranar University, Tirunelveli, India. He received his master's degree in VLSI Design from Anna University, Chennai, India and bachelor's degree in Electronics and communication engineering from Anna University, Chennai, India. He has presented papers in various National and International Conferences and Journals. His fields of interest are Networks on Chips, Computer Architecture and ASIC design. He has received awards such as Young Innovator Award, Young Researcher Award, Class A Award - IIT Bombay and Best Paper Award at INCODS 2017. He is a life member of ISTE, Senior Member IEEE and few membership bodies. He has many patents in various domains. He has edited 6 books and has written many book chapters in Springer, IET Press, and Taylor & Francis press. He is the author of the book Evolutionary Intelligence for Healthcare Applications.
Rajmohan Rajendrane earned his Doctoral Degree in Co-operative Networks under Anna University in the year 2022. Rajmohan has spent a decade in instructing, counseling, and down to earth application improvement. He is currently working as Assistant Professor in SRM Institute of Science and Technology (Deemed to be University), Kattankulathur campus, Tamil Nadu, India. His fields of interest are Artificial Intelligence, Data Science, Medical Imaging, Machine Learning, Wireless Network, Deep learning and IoT. He has published more than 60 papers in various reputed SCI, Scopus indexed and UGC care journals. He has published 3 patents in the domain of image processing and has edited 6 with international publishers of repute. He has authored over 20 book chapters and a book titled Evolutionary Intelligence for Healthcare Applications. He received Best Educator Award from International Institute of Organized Research (I2OR), India in 2017. He is the associate editor of PLOS ONE journal and reviewer for reputed international journals.
Niranjanamurthy M is an Associate Professor at the Department of Artificial Intelligence and Machine Learning, BMS Institute of Technology and Management. He completed his PhD in Computer Science. He has fifteen years of teaching experience and two years of industry experience as a Software Engineer. He has written twenty-five books and around hundred articles have been published in various National / International Conferences / International Journals. He has filled thirty-six patents and six of them have been granted. He is also a reviewer and an editorial board member of various International Journals. Alongside, he has been an examiner for doctoral research projects and has conducted various national level workshops and conferences and delivered lectures. He is associated with various professional bodies such as the IEEE, IAENG. The areas of his interest are Data Science, Software Testing, Software Engineering, Web Services, Web-Technologies, Cloud Computing, Big data analytics, and Networking.
Sambasivam Nanasekaran is an Assistant Professor in the School of Computing and Data Science, Xiamen University Malaysia, Sepang, Malaysia. He received a PhD degree in Computer Science and Engineering from Pondicherry University, Puducherry, India. He has held teaching positions in international universities and has also been a dean. He has published research articles in peer reviewed international journals and has presented papers in international conferences. He is also a member of IEEE. He has also been a reviewer in various peer-reviewed Journals and Conferences.
作者簡介(中文翻譯)
T. Ananth kumar 擔任印度 IFET 工程學院(自主)計算機科學與工程系的研究主任及副教授。他在印度提魯內維利的 Manonmaniam Sundaranar 大學獲得 VLSI 設計的博士學位,並在印度金奈的安娜大學獲得 VLSI 設計的碩士學位及電子與通信工程的學士學位。他在各種國內外會議和期刊上發表過論文。他的研究領域包括片上網路(Networks on Chips)、計算機架構和 ASIC 設計。他曾獲得年輕創新者獎、年輕研究者獎、IIT 孟買的 A 級獎以及 2017 年 INCODS 的最佳論文獎。他是 ISTE 的終身會員、IEEE 的高級會員及其他幾個專業組織的成員。他在各個領域擁有多項專利,編輯過 6 本書籍,並在 Springer、IET Press 和 Taylor & Francis 出版社撰寫了多個書章。他是書籍《Evolutionary Intelligence for Healthcare Applications》的作者。
Rajmohan Rajendrane 在 2022 年獲得安娜大學的合作網路博士學位。Rajmohan 在教學、輔導和實際應用開發方面擁有十年的經驗。他目前在印度泰米爾納德邦的 SRM 科技學院(被認定為大學)卡坦庫拉圖爾校區擔任助理教授。他的研究領域包括人工智慧、數據科學、醫學影像、機器學習、無線網路、深度學習和物聯網。他在各種知名的 SCI、Scopus 索引和 UGC 認可的期刊上發表了超過 60 篇論文。他在影像處理領域擁有 3 項專利,並與知名國際出版商編輯了 6 本書籍。他撰寫了超過 20 個書章及一本名為《Evolutionary Intelligence for Healthcare Applications》的書籍。他於 2017 年獲得國際組織研究所(I2OR)頒發的最佳教育者獎。他是 PLOS ONE 期刊的副編輯,並擔任多個知名國際期刊的審稿人。
Niranjanamurthy M 是 BMS 科技與管理學院人工智慧與機器學習系的副教授。他在計算機科學領域獲得博士學位,擁有十五年的教學經驗和兩年的軟體工程行業經驗。他撰寫了二十五本書籍,並在各種國內/國際會議和國際期刊上發表了約一百篇文章。他申請了三十六項專利,其中六項已獲得批准。他也是多個國際期刊的審稿人和編輯委員會成員。此外,他還擔任博士研究項目的考官,並舉辦過多個國家級的研討會和會議,並進行演講。他與 IEEE、IAENG 等多個專業機構有關聯。他的研究興趣包括數據科學、軟體測試、軟體工程、網路服務、網路技術、雲計算、大數據分析和網路。
Sambasivam Nanasekaran 是馬來西亞檳城的廈門大學計算與數據科學學院的助理教授。他在印度普杜切里的龐迪榭大學獲得計算機科學與工程的博士學位。他曾在國際大學擔任教學職位,並曾擔任院長。他在同行評審的國際期刊上發表過研究文章,並在國際會議上發表過論文。他也是 IEEE 的成員,並曾擔任多個同行評審期刊和會議的審稿人。