Biomedical Image Analysis: Special Applications in Mris and CT Scans
暫譯: 生物醫學影像分析：MRI與CT掃描的特殊應用

Singh, Pritpal

Biomedical Image Analysis: Special Applications in Mris and CT Scans
  • 出版商: Springer
  • 出版日期: 2025-04-02
  • 售價: $5,640
  • 貴賓價: 9.5 折 $5,358
  • 語言: 英文
  • 頁數: 166
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819999413
  • ISBN-13: 9789819999415

    • 海外代購書籍(需單獨結帳)

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商品描述

This book provides an in-depth study of biomedical image analysis. It reviews and summarizes previous research work in biomedical image analysis and also provides a brief introduction to other computation techniques, such as fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm, focusing on how these techniques can be integrated into different phases of the biomedical image analysis. In particular, this book describes novel methods resulting from the fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm. It also demonstrates how a new quantum-clustering based model can be successfully applied in the context of clustering the COVID-19 CT scans. Thanks to its easy-to-read style and the clear explanations of the models, the book can be used as a concise yet comprehensive reference guide to biomedical image analysis, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government institutes and medical colleges.

商品描述(中文翻譯)

本書深入探討生物醫學影像分析。它回顧並總結了先前在生物醫學影像分析方面的研究工作，並簡要介紹了其他計算技術，如模糊集合（fuzzy sets）、中立集合（neutrosophic sets）、聚類演算法（clustering algorithm）和快速量子優化演算法（fast forward quantum optimization algorithm），重點在於這些技術如何整合進入生物醫學影像分析的不同階段。特別是，本書描述了源自模糊集合、中立集合、聚類演算法和快速量子優化演算法的新方法。它還展示了一種基於量子聚類的新模型如何成功應用於COVID-19 CT掃描的聚類。由於其易讀的風格和對模型的清晰解釋，本書可作為生物醫學影像分析的簡明而全面的參考指南，對於研究生、研究人員以及在學術、商業和政府機構及醫學院工作的專業人士都將具有重要價值。

作者簡介

PRITPAL SINGH, assistant professor in Central University of Rajasthan, India. He has an academic experience of more than 7 years.

He served as a Senior Postdoctoral Fellow in the Department of Electrical Engineering at the Taipei National University of Technology, Taiwan, from 2019-2020. He is working as an Adjunct Professor (Research) from November, 2020 in the Institute of Theoretical Physics, Jagiellonian University,

Poland. He is an active research member of Bio-Data Research Group (under TEAM-NET Program) in the Institute of Theoretical Physics, Jagiellonian University. His research interests include ambiguous set theory, soft computing, optimization algorithms (especially quantum-based optimization), time series forecasting, image analysis, fMRI data analysis, machine learning, mathematical modeling and simulation. He has published numerous papers in refereed SCI journals, conference proceedings, book chapters and book.

作者簡介(中文翻譯)

PRITPAL SINGH，印度拉賈斯坦中央大學的助理教授。他擁有超過7年的學術經驗。

他於2019年至2020年擔任台北科技大學電機工程系的高級博士後研究員。自2020年11月起，他在波蘭雅蓋隆大學理論物理研究所擔任兼任教授（研究）。他是雅蓋隆大學理論物理研究所Bio-Data研究小組（隸屬於TEAM-NET計畫）的活躍研究成員。他的研究興趣包括模糊集合理論、軟計算、優化演算法（特別是基於量子優化的演算法）、時間序列預測、影像分析、fMRI數據分析、機器學習、數學建模和模擬。他在經過審核的SCI期刊、會議論文集、書籍章節和書籍中發表了多篇論文。

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