Data Driven Approaches on Medical Imaging
暫譯: 醫學影像的數據驅動方法
Zheng, Bin, Andrei, Stefan, Sarker, MD Kamruzzaman
- 出版商: Springer
- 出版日期: 2025-02-02
- 售價: $6,490
- 貴賓價: 9.5 折 $6,166
- 語言: 英文
- 頁數: 228
- 裝訂: Quality Paper - also called trade paper
- ISBN: 303147774X
- ISBN-13: 9783031477744
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相關主題
商品描述
This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. and their applications in medical domain. Moreover, the key challenges which affect the design, development, and performance of medical imaging systems are addressed. In addition, the state-of-the-art medical imaging methodologies for efficient, interpretable, explainable, and practical implementation of computer imaging techniques are discussed. At present, there are no textbook resources that address the medical imaging technologies. There are ongoing and novel research outcomes which would be useful for the development of novel medical imaging technologies/processes/equipment which can improve the current state of the art.
The book particularly focuses on the use of data driven new technologies on medical imaging vision such as Active learning, Online learning, few shot learning, AutoML, segmentation etc.
商品描述(中文翻譯)
本書探討了計算機視覺技術的最新進展，例如主動學習（active learning）、少量學習（few-shot learning）、零樣本學習（zero shot learning）、可解釋和可解釋的機器學習（explainable and interpretable ML）、在線學習（online learning）、自動機器學習（AutoML）等，以及它們在醫療領域的應用。此外，本書還針對影響醫療影像系統設計、開發和性能的主要挑戰進行了討論。此外，還探討了最先進的醫療影像方法，以實現計算機影像技術的高效、可解釋、可解釋和實用的實施。目前，尚無教科書資源專門針對醫療影像技術。正在進行的創新研究成果將對新型醫療影像技術/過程/設備的開發非常有用，這些技術可以改善當前的技術水平。
本書特別關注數據驅動的新技術在醫療影像視覺中的應用，例如主動學習、在線學習、少量學習、自動機器學習、分割等。
作者簡介
Dr. Bin Zheng received his PhD degree from the Department of Electrical Engineering, University of Delaware in 1993. After working in the Medical Imaging Research Division, Department of Radiology, University of Pittsburgh, for 20 years, he joined faculty of the School of Electrical and Computer Engineering, University of Oklahoma in 2013. He was a Gerald Tuma Presidential Professor and a Director of Oklahoma Center of Medical Imaging for Translational Cancer Research. He is also a fellow of American Institute for Medicine and Biological Engineering (AIMBE) and an editor-in-chief of Journal of X-ray Science and Technology. He works in the field of quantitative medical image feature processing and analysis. His research interest focuses on developing and evaluating (1) new image processing algorithms to detect suspicious diseases (cancer and stroke), (2) image feature based machine learning models to predict disease risk, identify malignant tumors, and assess patient prognosis or treatment efficacy, and (3) interactive computer-aided diagnosis systems using the content-based image retrieval technology to provide radiologists "visual-aided tools" in reading and interpreting medical images. He has co-authored over 210 referred journal papers in medical imaging research field with a current Google Scholar H-index of 54.
Dr. Stefan Andrei received his PhD from Hamburg University, Germany, in 2000 as a World Bank Scholarship Japan Graduate student. He is currently a Professor of Department of Computer Science with Oregon Institute of Technology, Previously he was chair of computer science department in Lamar University. He has already been a co-author of more than 100 peer reviewed papers at international reputable journals and conferences. His research interests include real-time embedded systems, computer vision, software engineering, and more.
Dr. Md Kamruzzaman Sarker is working as a tenure track assistant professor at the department of Computing Sciences at the Bowie State University. He obtained his PhD in computer science with focus on Artificial Intelligence in 2020 from Kansas State University. After his PhD he also worked as a postdoc at the Center for Artificial Intelligence and Data Science of the Same university. He obtained his M.S. in Computer Science in 2018 from Wright State University and B.Sc. in Computer Science and Engineering from Khulna University of Engineering & Technology. He also worked at Intel Corporation and Samsung Electronics. He has authored more than 30 peer reviewed papers and edited a book.
Dr. Kishor Datta Gupta is working as a tenure track assistant professor at the Clark Atlanta University. He obtained his PhD in computer science with focus on Artificial Intelligence in 2021 from University of Memphis. He has authored more than 30 peer reviewed papers and co-invented a patent. His research interest include medical data imaging and security, HIPPA compliant medical data processing etc.
作者簡介(中文翻譯)
鄭彬博士於1993年獲得特拉華大學電機工程系的博士學位。在匹茲堡大學放射科醫學影像研究部工作了20年後，他於2013年加入奧克拉荷馬大學電機與計算機工程學院的教職。他曾擔任傑拉德·圖瑪總統教授及奧克拉荷馬醫學影像轉化癌症研究中心的主任。他也是美國醫學與生物工程學會（AIMBE）的會士，以及《X射線科學與技術期刊》的主編。他的研究領域為定量醫學影像特徵處理與分析。他的研究興趣集中於開發和評估（1）檢測可疑疾病（癌症和中風）的新影像處理演算法，（2）基於影像特徵的機器學習模型以預測疾病風險、識別惡性腫瘤及評估病人預後或治療效果，以及（3）使用基於內容的影像檢索技術的互動電腦輔助診斷系統，以提供放射科醫生在閱讀和解釋醫學影像時的「視覺輔助工具」。他在醫學影像研究領域共同撰寫了超過210篇的期刊論文，目前Google Scholar的H指數為54。
斯特凡·安德烈博士於2000年獲得德國漢堡大學的博士學位，並作為世界銀行獎學金的日本研究生。他目前是俄勒岡科技學院計算機科學系的教授，之前曾擔任拉馬爾大學計算機科學系的系主任。他已經在國際知名期刊和會議上共同撰寫了超過100篇的同行評審論文。他的研究興趣包括即時嵌入式系統、計算機視覺、軟體工程等。
Md Kamruzzaman Sarker博士目前在博威州立大學計算科學系擔任終身教職助理教授。他於2020年在堪薩斯州立大學獲得專注於人工智慧的計算機科學博士學位。獲得博士學位後，他還在同一大學的人工智慧與數據科學中心擔任博士後研究員。他於2018年在萊特州立大學獲得計算機科學碩士學位，並在庫爾納工程與技術大學獲得計算機科學與工程學士學位。他曾在英特爾公司和三星電子工作。他已發表超過30篇的同行評審論文並編輯了一本書。
Kishor Datta Gupta博士目前在克拉克亞特蘭大大學擔任終身教職助理教授。他於2021年在孟菲斯大學獲得專注於人工智慧的計算機科學博士學位。他已發表超過30篇的同行評審論文並共同發明了一項專利。他的研究興趣包括醫療數據影像與安全、符合HIPAA的醫療數據處理等。
