High-Performance Medical Image Processing
暫譯: 高效能醫學影像處理
Saxena, Sanjay, Paul, Sudip
- 出版商: Apple Academic Press
- 出版日期: 2022-07-07
- 售價: $5,660
- 貴賓價: 9.5 折 $5,377
- 語言: 英文
- 頁數: 300
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1774637227
- ISBN-13: 9781774637227
海外代購書籍(需單獨結帳)
相關主題
商品描述
The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results.
With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding parallelism in different image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book. The volume presents the relevant theoretical frameworks and the latest empirical research findings in the area and provides detailed descriptions about the diverse high-performance techniques.
Topics discussed include parallel computing, multicore architectures and their applications in image processing, machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and more. Case studies, such as on the detection of cancer tumors, expound on the information presented.
Key features:
- Provides descriptions of different medical imaging modalities and their applications
- Discusses the basics and advanced aspects of parallel computing with different multicore architectures
- Expounds on the need for embedding data and task parallelism in different medical image processing techniques
- Presents helpful examples and case studies of the discussed methods
This book will be valuable for professionals, researchers, and students working in the field of healthcare engineering, medical imaging technology, applications in machine and deep learning, and more. It is also appropriate for courses in computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.
商品描述(中文翻譯)
醫學影像的處理在合理的時間內達到高解析度是非常具有挑戰性的。本書旨在應對這一挑戰，提供醫學影像模式、其處理、高效能計算的全面概述，以及在醫學影像處理技術中嵌入平行處理的必要性，以實現高效且快速的結果。
本書《高效能醫學影像處理》匯集了來自知名實驗室和教育機構的研究者的貢獻，提供了有關醫學影像處理技術、平行計算技術以及在不同影像處理技術中嵌入平行處理的重要資訊。本書的一個關鍵特點是對醫學影像處理問題中的平行演算法進行了全面的回顧。本書呈現了相關的理論框架和該領域最新的實證研究結果，並詳細描述了各種高效能技術。
討論的主題包括平行計算、多核心架構及其在影像處理中的應用、機器學習應用、傳統與先進的磁共振成像方法、高光譜影像處理、用於3D視圖的2D切片分割演算法等。案例研究，例如癌症腫瘤的檢測，進一步闡述了所呈現的信息。
本書的主要特點：
- 提供不同醫學影像模式及其應用的描述
- 討論平行計算的基本概念和不同多核心架構的進階方面
- 闡述在不同醫學影像處理技術中嵌入數據和任務平行處理的必要性
- 提供所討論方法的有用範例和案例研究
本書對於在醫療工程、醫學影像技術、機器學習和深度學習應用等領域工作的專業人士、研究人員和學生將具有重要價值。它也適合於基於人工智慧、平行計算、高效能計算以及機器學習及其在醫學影像中的應用的計算機工程、生物醫學工程和電機工程課程。
作者簡介
Sanjay Saxena, PhD, is Assistant Professor in the Department of Computer Science and Engineering at the International Institute of Information Technology, Bhubaneswar, India. He has published several research papers in peer-reviewed international journals and conferences. He is a professional member of IEEE, ACM, New York Academy of Science, IAENG. Dr. Saxena earned his PhD from the Indian Institute of Technology (BHU), Varanasi, India, in High Performance Medical Image Processing. In addition, he completed postdoctorate research at the Perelman School of Medicine, University of Pennsylvania, USA, and worked on brain tumor (glioblastoma) segmentation and analysis.
Sudip Paul, PhD, is Assistant Professor and Teacher In-Charge in the Department of Biomedical Engineering in the School of Technology at North-Eastern Hill University (NEHU), Shillong, India. Dr. Paul has published more than 90 papers in international journals and conferences and has also filed four patents. He has completed 10 book projects, and two are ongoing as editor and two as authored. Dr. Paul was awarded First Prize of the Sushruta Innovation Award 2011, sponsored by the Department of Science and Technology, Government of India. He has organized many workshops and conferences, the most significant of which are the IEEE International Conference on Computational Performance Evaluation 2020; 29th Annual Meeting of the Society for Neurochemistry, India; and IRBO/APRC Associate School 2017. Dr. Paul is a member of various societies and professional bodies, including APSN, ISN, IBRO, SNCI, SfN, IEEE, IAS. He has received many awards, including the World Federation of Neurology (WFN) traveling fellowship, Young Investigator Award, IBRO Travel Awardee, and ISN Travel Award. Dr. Paul has contributed his knowledge to various international journals as an editorial board member and has presented his research in the USA, Greece, France, South Africa, and Australia.
作者簡介(中文翻譯)
Sanjay Saxena, PhD 是印度布巴內斯瓦爾國際資訊技術學院計算機科學與工程系的助理教授。他在多個國際期刊和會議上發表了多篇經過同行評審的研究論文。他是IEEE、ACM、紐約科學院和IAENG的專業會員。Saxena博士在印度瓦拉納西的印度理工學院（BHU）獲得高效能醫學影像處理的博士學位。此外，他在美國賓夕法尼亞大學的佩雷爾曼醫學院完成了博士後研究，專注於腦腫瘤（膠質母細胞瘤）的分割與分析。
Sudip Paul, PhD 是印度東北山大學（NEHU）技術學院生物醫學工程系的助理教授及負責教師。Paul博士在國際期刊和會議上發表了超過90篇論文，並申請了四項專利。他已完成10個書籍項目，其中兩個正在進行中，擔任編輯的有兩本，作者的有兩本。Paul博士獲得了2011年由印度政府科學與技術部贊助的Sushruta創新獎第一名。他組織了許多研討會和會議，其中最重要的包括2020年IEEE國際計算性能評估會議、印度神經化學學會第29屆年會以及2017年IRBO/APRC聯合學校。Paul博士是多個學會和專業機構的成員，包括APSN、ISN、IBRO、SNCI、SfN、IEEE和IAS。他獲得了許多獎項，包括世界神經學聯合會（WFN）旅行獎學金、青年研究者獎、IBRO旅行獎和ISN旅行獎。Paul博士作為編輯委員會成員，為多個國際期刊貢獻了他的知識，並在美國、希臘、法國、南非和澳大利亞展示了他的研究成果。
