Machine Learning in Medicine
El-Baz, Ayman, Suri, Jasjit S.
- 出版商: CRC
- 出版日期: 2023-09-25
- 售價: $3,520
- 貴賓價: 9.5 折 $3,344
- 語言: 英文
- 頁數: 292
- 裝訂: Quality Paper - also called trade paper
- ISBN: 103203985X
- ISBN-13: 9781032039855
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相關分類:
Machine Learning
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相關主題
商品描述
Machine Learning in Medicine covers the state-of-the-art techniques of machine learning and their applications in the medical field. It presents several computer-aided diagnosis (CAD) systems, which have played an important role in the diagnosis of several diseases in the past decade, e.g., cancer detection, resulting in the development of several successful systems.
New developments in machine learning may make it possible in the near future to develop machines that are capable of completely performing tasks that currently cannot be completed without human aid, especially in the medical field. This book covers such machines, including convolutional neural networks (CNNs) with different activation functions for small- to medium-size biomedical datasets, detection of abnormal activities stemming from cognitive decline, thermal dose modelling for thermal ablative cancer treatments, dermatological machine learning clinical decision support systems, artificial intelligence-powered ultrasound for diagnosis, practical challenges with possible solutions for machine learning in medical imaging, epilepsy diagnosis from structural MRI, Alzheimer's disease diagnosis, classification of left ventricular hypertrophy, and intelligent medical language understanding.
This book will help to advance scientific research within the broad field of machine learning in the medical field. It focuses on major trends and challenges in this area and presents work aimed at identifying new techniques and their use in biomedical analysis, including extensive references at the end of each chapter.
商品描述(中文翻譯)
《醫學中的機器學習》涵蓋了機器學習的最新技術及其在醫學領域的應用。書中介紹了幾個電腦輔助診斷（CAD）系統，在過去十年中在診斷多種疾病方面發揮了重要作用，例如癌症檢測，從而開發出了多個成功的系統。
機器學習的新發展可能使得在不久的將來能夠開發出完全能夠完成目前無法在沒有人類幫助下完成的任務的機器，尤其是在醫學領域。本書涵蓋了這樣的機器，包括用於小型到中型生物醫學數據集的具有不同激活函數的卷積神經網絡（CNN），檢測源於認知衰退的異常活動，用於熱消融癌症治療的熱劑量建模，皮膚科機器學習臨床決策支持系統，人工智能驅動的超聲診斷，醫學影像機器學習的實際挑戰及可能的解決方案，結構性MRI對癲癇診斷，阿爾茨海默病診斷，左心室肥厚分類以及智能醫學語言理解。
本書將有助於推進機器學習在醫學領域的科學研究。它聚焦於這一領域的主要趨勢和挑戰，並提出旨在識別新技術及其在生物醫學分析中的應用的工作，每章末尾還附有廣泛的參考文獻。
作者簡介
Ayman El-Baz is a Distinguished Professor at University of Louisville, Kentucky, United States and University of Louisville at AlAlamein 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 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 500 technical articles (155 journals, 44 books, 85 book chapters, 255 refereed-conference papers, 196 abstracts, and 36 US patents and Disclosures).
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市路易斯維爾大學和埃及新阿拉米恩城阿拉米恩國際大學（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授予Coulter、AIMBE和NAI的會士稱號。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二十年的實踐經驗。他是500多篇技術文章（155篇期刊論文、44本書、85章書籍章節、255篇同行評審的會議論文、196篇摘要和36項美國專利和披露）的作者或合著者。
Jasjit S. Suri是一位創新者、科學家、願景領袖、工業家和國際知名的生物醫學工程領域的世界領導者。Suri博士在生物醫學工程/設備及其管理領域已經工作了超過25年。他在華盛頓大學獲得博士學位，並在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，他因其對醫學成像及其管理的傑出貢獻和奉獻而獲得馬奎斯終身成就獎。
