Handbook of Texture Analysis: Ai-Based Medical Imaging Applications

El-Baz, Ayman, Ghazal, Mohammed, Suri, Jasjit S.

Handbook of Texture Analysis: Ai-Based Medical Imaging Applications
  • 出版商: CRC
  • 出版日期: 2024-06-21
  • 售價: $6,290
  • 貴賓價: 9.5 折 $5,976
  • 語言: 英文
  • 頁數: 248
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367483459
  • ISBN-13: 9780367483456

    • 下單後立即進貨 (約2~4週)

相關主題

商品描述

The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This volume presents important branches of texture analysis methods which find a proper application in AI-based medical image analysis. This book:

  • Discusses first-order, second-order statistical methods, local binary pattern (LBP) methods, and filter bank-based methods.
  • Covers spatial frequency-based methods, Fourier analysis, Markov random fields, Gabor filters, and Hough transformation.
  • Describes advanced textural methods based on DL as well as BD and advanced applications of texture to medial image segmentation.
  • Is aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering.

This is an essential reference for those looking to advance their understanding in this applied and emergent field.

商品描述(中文翻譯)

計算機視覺中紋理研究的主要目標是理解、建模和處理紋理，最終利用計算機技術模擬人類視覺學習過程。在過去的十年中，機器學習和大數據方法革命了人工智能，在各種問題上超越了人類的預測能力。特別是，深度學習卷積神經網絡（CNN）非常適合紋理分析。本書介紹了紋理分析方法的重要分支，這些方法在基於人工智能的醫學影像分析中得到了適當的應用。本書包括以下內容：

- 討論一階、二階統計方法、局部二值模式（LBP）方法和基於濾波器組的方法。
- 涵蓋基於空間頻率的方法、傅立葉分析、馬爾可夫隨機場、Gabor濾波器和霍夫變換。
- 描述基於深度學習、大數據和高級紋理方法以及紋理在醫學影像分割中的高級應用。
- 面向生物醫學工程、影像分析、認知科學以及計算機科學和工程的研究人員、學者和高級學生。

對於那些希望在這個應用和新興領域中提升自己的理解能力的人來說，這是一本必不可少的參考書。

作者簡介

Ayman El-Baz is a Distinguished Professor at University of Louisville, Kentucky, United States and University of Louisville at Alamein International University (UofL-AIU), New Alamein City, Egypt. Dr. El-Baz earned his B.Sc. and M.Sc. degrees in electrical engineering in 1997 and 2001, respectively. He earned his Ph.D. in electrical engineering from the University of Louisville in 2006. Dr. El-Baz was named as a Fellow for IEEE, Coulter, AIMBE and NAI for his contributions to the field of biomedical translational research. Dr. El-Baz has almost two decades of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 700 technical articles.

Mohammed Ghazal is a Professor and Chairman of the Department of Electrical, Computer, and Biomedical Engineering at the College of Engineering, Abu Dhabi University, UAE. His research areas are bioengineering, image and video processing, and smart systems. He received his Ph.D and M.A.Sc in Electrical and Computer Engineering (ECE) from Concordia University in Montreal Canada in 2010 and 2006, respectively, and his B.Sc. in Computer Engineering from the American University of Sharjah (AUS) in 2004. He has received multiple awards including the Distinguished Faculty Award of Abu Dhabi University in 2017 and 2014. Dr. Ghazal has authored or co-authored over 70 publications in recognized international journals and conferences including IEEE Transactions in Image Processing, IEEE Transactions in Circuits and Systems for Video Technology, IEEE Transactions in Consumer Electronics, Elsevier's Renewable Energy Reviews, and Springer's Multimedia Tools and Applications.

Jasjit S. Suri is an innovator, scientist, visionary, industrialist and an internationally known world leader in biomedical engineering. Dr. Suri has spent over 25 years in the field of biomedical engineering/devices and its management. He received his Ph.D. from the University of Washington, Seattle and his Business Management Sciences degree from Weatherhead, Case Western Reserve University, Cleveland, Ohio. Dr. Suri was crowned with President's Gold medal in 1980 and made Fellow of the American Institute of Medical and Biological Engineering for his outstanding contributions. In 2018, he was awarded the Marquis Life Time Achievement Award for his outstanding contributions and dedication to medical imaging and its management.

作者簡介(中文翻譯)

Ayman El-Baz是肯塔基州路易斯維爾大學和埃及新阿拉曼城的路易斯維爾大學阿拉曼國際大學（UofL-AIU）的傑出教授。El-Baz博士於1997年和2001年分別獲得電氣工程學士和碩士學位。他於2006年從路易斯維爾大學獲得電氣工程博士學位。El-Baz博士因其對生物醫學轉化研究領域的貢獻而被IEEE、Coulter、AIMBE和NAI選為會士。El-Baz博士在生物成像建模和非侵入性計算機輔助診斷系統領域擁有近20年的實踐經驗。他已經撰寫或合著了700多篇技術文章。

Mohammed Ghazal是阿布扎比大學工程學院電氣、計算機和生物醫學工程系的教授和主任。他的研究領域包括生物工程、影像和視頻處理以及智能系統。他於2010年和2006年分別從加拿大蒙特利爾康科迪亞大學獲得電氣和計算機工程（ECE）的博士和碩士學位，並於2004年從阿聯酋美國薩爾傑大學獲得計算機工程學士學位。他曾多次獲得獎項，包括2017年和2014年阿布扎比大學傑出教職員獎。Ghazal博士在國際知名期刊和會議上發表或合著了70多篇文章，包括IEEE圖像處理交易、IEEE視頻技術交易、IEEE消費電子交易、Elsevier可再生能源評論和Springer多媒體工具和應用。

Jasjit S. Suri是一位創新者、科學家、願景家、實業家和國際知名的生物醫學工程領域領袖。Suri博士在生物醫學工程/設備及其管理領域已經從事了25多年。他從華盛頓大學獲得博士學位，並從俄亥俄州克利夫蘭的Case Western Reserve University的Weatherhead獲得商業管理科學學位。Suri博士因其傑出貢獻而獲得1980年的總統金牌獎章，並成為美國醫學和生物工程學會的會士。2018年，他因其對醫學影像及其管理的傑出貢獻和奉獻而獲得馬奎斯終身成就獎。

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