Computational Analysis for Digital Medical Imagery
暫譯: 數位醫學影像的計算分析
Kumar Rai, Bipin, Dwivedi, Anshu Kumar, Tran, Duc-Tan
- 出版商: CRC
- 出版日期: 2026-12-01
- 售價: $5,180
- 貴賓價: 9.5 折 $4,921
- 語言: 英文
- 頁數: 314
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041214049
- ISBN-13: 9781041214045
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相關分類:
影像辨識 Image-recognition、Computer Vision、DeepLearning
尚未上市,無法訂購
商品描述
Advanced computational techniques and intelligent algorithms are now being used for processing, analyzing, and interpreting medical images across diverse healthcare applications. It integrates image processing, machine learning, deep learning, and computer vision to enhance diagnostic accuracy, disease detection, and clinical decision-making. Its potential lies in enabling faster, automated, and more precise medical assessments while supporting personalized and data-driven healthcare systems. The field also drives innovation in radiology, telemedicine, surgical planning, and smart healthcare technologies, making it a critical area of modern biomedical research and practice.
The book delves into the latest computational methodologies and artificial intelligence techniques used in the analysis, interpretation, and enhancement of digital medical images. It aims to cover a wide array of topics, from foundational imaging techniques to advanced Al-driven models, including machine learning, deep learning, and neural networks applied in medical imaging. It also addresses critical aspects such as data preprocessing, feature extraction, segmentation, and diagnostic interpretation, offering insights into how computational applies are revolutionizing clinical decision-making, diagnostic accuracy, and patient outcomes.
This book is designed for researchers and professionals in medical imaging, artificial intelligence, biomedical engineering, and healthcare. It is also useful for clinicians and industry practitioners applying computational techniques to improve diagnostic decision-making.
商品描述(中文翻譯)
先進的計算技術與智慧型演算法目前廣泛應用於各種醫療保健領域的醫學影像處理、分析與解讀。這些技術整合影像處理、機器學習(machine learning)、深度學習(deep learning)與電腦視覺(computer vision),以提升診斷準確度、疾病偵測能力與臨床決策品質。其潛力在於實現更快速、自動化且精確的醫學評估,同時支援個人化及資料驅動的醫療保健系統。此領域也推動了放射學、遠距醫療、手術規劃與智慧醫療技術的創新,使其成為現代生物醫學研究與實務中不可或缺的重要領域。
本書深入探討最新的計算方法與人工智慧技術,說明其在數位醫學影像分析、解讀與增強方面的應用。內容涵蓋廣泛主題,從基礎影像技術到先進的 AI 驅動模型,包括應用於醫學影像的機器學習、深度學習與類神經網路(neural networks)。本書也討論資料前處理、特徵擷取、影像分割與診斷解讀等關鍵面向,協助讀者了解計算方法與相關應用如何革新臨床決策、提升診斷準確度,並改善病患治療結果。
本書適合醫學影像、人工智慧、生物醫學工程與醫療保健領域的研究人員及專業人士閱讀,也適合運用計算技術改善診斷決策的臨床醫師與產業從業人員。
作者簡介
Dr. Bipin Kumar Rai is a Professor in the Department of Computer Science & Engineering, at Dayananda Sagar University, India. He holds a PhD from Banasthali Vidyapith, along with M.Tech and B.Tech degrees in Computer Science and Engineering. Dr. Rai has over 21 years of teaching experience at renowned institutions. His areas of interest include cryptography and information security, machine learning, and blockchain technology. He has published over 70 research papers in WoS/Scopus-indexed journals, conferences, and book chapters, and has authored/edited 7 books with reputable publishers like Wiley/Springer/T&F Group. He has served as a Guest Editor and Reviewer for several WoS/Scopus-indexed journals. He has also served as a session chair, reviewer, and presenter at numerous conferences, workshops, and symposiums.
Dr. Rai has held various administrative roles, including Dean of Academics and Head of Department for NBA-accredited program. He has expertise in implementing Outcome-Based Education (OBE), which is essential for NBA/NAAC accreditation processes. Dr. Rai is actively engaged in professional development and is an esteemed member of professional bodies such as the Senior Member of IEEE, Computer Society of India (CSI), Indian Society for Technical Education (ISTE), and Association for Computing Machinery (ACM).
Dr. Anshu Kumar Dwivedi has a background in Computer Science and Engineering. He is a senior member of IEEE. He is an assistant professor at School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India. He has a PhD in Computer Science and Engineering from Madan Mohan Malaviya University of Technology, Gorakhpur on a regular basis and MTech (Hons) in Computer Engineering from YMCA University of Science and Technology, Faridabad. He has a Bachelor of Technology from UPTU, Lucknow. Dr. Dwivedi also cleared GATE 2010, and 2018. He brings over 12+ years of teaching and research expertise. Dr. Dwivedi boasts a prolific research background with more than 35 plus research publications published in esteemed journals, Dr. Dwivedi is a senior member of the IEEE, AIENG, and CSI. Dr. Dwivedi has authored a book Theory of Automata and Formal Languages (2015), and Healthcare Systems and Health Informatics Using Internet of Things (2022). Dr. Dwivedi is a dedicated academician and researcher who has made notable contributions in the field of Computer Science and Engineering.
Duc-Tan Tran is a Professor and Vice Dean at the Faculty of Electrical and Electronic Engineering at Phenikaa University, Hanoi, Vietnam. Prior to joining Phenikaa University, Dr. Tan was an Associate Professor at the Faculty of Electronics and Telecommunication, VNU University of Engineering and Technology. He also served as the Vice Dean of the faculty from 2016 to 2019. He has published over 150 research papers and has been awarded the "Best Paper Award" at the 9th International Conference on Multimedia and Ubiquitous Engineering (MUE-15) and the International Conference on Green and Human Information Technology (ICGHIT-2015). In 2008, he was recognized as an excellent young researcher by Vietnam National University, Hanoi, and was awarded the third prize in the "Vietnamese Talents" contest. His primary research interests include the representation, processing, analysis, and communication of information embedded in signals and datasets. Tran actively participates in international conferences and journals by serving as a TP Co-chair, technical committee program member, track chair, session chair, and reviewer.
作者簡介(中文翻譯)
Dr. Bipin Kumar Rai 是印度 Dayananda Sagar University 電腦科學與工程系教授。他取得 Banasthali Vidyapith 的 PhD 學位,以及電腦科學與工程領域的 M.Tech 和 B.Tech 學位。Rai 博士曾在知名學術機構任教超過 21 年。他的研究領域包括密碼學與資訊安全、機器學習,以及區塊鏈技術。他已在 WoS/Scopus 收錄的期刊、研討會及書籍章節中發表超過 70 篇研究論文,並與 Wiley、Springer、T&F Group 等知名出版社合作出版或編輯 7 本書。他曾擔任多本 WoS/Scopus 收錄期刊的客座編輯與審稿人,也曾在眾多研討會、工作坊及學術座談會中擔任議程主席、審稿人與發表人。
Rai 博士曾擔任多項行政職務,包括教務長,以及 NBA 認證課程的系主任。他精通成果導向教育(Outcome-Based Education, OBE)的實施,而這是 NBA/NAAC 認證流程中的重要環節。Rai 博士積極參與專業發展活動,並是多個專業組織的傑出會員,包括 IEEE 資深會員、印度電腦學會(Computer Society of India, CSI)、印度技術教育學會(Indian Society for Technical Education, ISTE)及 Association for Computing Machinery(ACM)會員。
Dr. Anshu Kumar Dwivedi 擁有電腦科學與工程背景,是 IEEE 資深會員。目前擔任印度 Greater Noida 的 Bennett University 電腦科學工程與技術學院助理教授。他於 Madan Mohan Malaviya University of Technology(Gorakhpur)以全職方式取得電腦科學與工程 PhD 學位,並於 YMCA University of Science and Technology(Faridabad)取得電腦工程 MTech(榮譽)學位。他也取得 UPTU(Lucknow)的 Bachelor of Technology 學位。Dwivedi 博士通過了 2010 年及 2018 年的 GATE 考試,累積超過 12 年的教學與研究經驗。Dwivedi 博士研究成果豐碩,已在知名期刊發表超過 35 篇研究論文。他是 IEEE、AIENG 及 CSI 的資深會員。Dwivedi 博士曾出版《Theory of Automata and Formal Languages》(2015)及《Healthcare Systems and Health Informatics Using Internet of Things》(2022)兩本書。Dwivedi 博士是一位投入教育與研究工作的學者,並已在電腦科學與工程領域做出重要貢獻。
Duc-Tan Tran 是越南河內 Phenikaa University 電機與電子工程學院教授兼副院長。在加入 Phenikaa University 前,Tran 博士曾任 VNU University of Engineering and Technology 電子與電信學院副教授,並於 2016 年至 2019 年擔任該學院副院長。他已發表超過 150 篇研究論文,並曾於第 9 屆 Multimedia and Ubiquitous Engineering 國際研討會(MUE-15)及 International Conference on Green and Human Information Technology(ICGHIT-2015)獲頒「最佳論文獎」。2008 年,他獲 Hanoi 的 Vietnam National University 評選為優秀青年研究人員,並在「Vietnamese Talents」競賽中獲得第三名。他的主要研究興趣包括嵌入訊號與資料集之資訊的表示、處理、分析及通訊。Tran 積極參與國際研討會與期刊活動,曾擔任 TP Co-chair、技術委員會成員、分組主席、議程主席及審稿人。