Machine Learning in Medicine
暫譯: 醫學中的機器學習
El-Baz, Ayman, Suri, Jasjit S.
- 出版商: CRC
- 出版日期: 2021-08-04
- 售價: $7,460
- 貴賓價: 9.5 折 $7,087
- 語言: 英文
- 頁數: 292
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1138106909
- ISBN-13: 9781138106901
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
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先進技術及其在醫療領域的應用。書中介紹了幾個電腦輔助診斷（CAD）系統，這些系統在過去十年中對於多種疾病的診斷發揮了重要作用，例如癌症檢測，並促成了幾個成功系統的發展。
機器學習的新進展可能使我們在不久的將來能夠開發出能夠完全執行目前無法在沒有人工協助下完成的任務的機器，特別是在醫療領域。本書涵蓋了這些機器，包括針對小型到中型生物醫學數據集的不同激活函數的卷積神經網絡（CNN）、由認知衰退引起的異常活動檢測、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、基於人工智慧的超聲診斷、醫學影像中機器學習的實際挑戰及其可能的解決方案、結構性MRI的癲癇診斷、阿茲海默症診斷、左心室肥厚的分類，以及智能醫療語言理解。
本書將有助於推進醫學領域內機器學習的科學研究。它專注於該領域的主要趨勢和挑戰，並展示旨在識別新技術及其在生物醫學分析中應用的工作，每章末尾均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 是美國肯塔基州路易斯維爾大學及埃及新阿拉梅因市的路易斯維爾大學阿拉梅因國際大學 (UofL-AIU) 的傑出教授。El-Baz 博士於1997年和2001年分別獲得電機工程學士和碩士學位，並於2006年在路易斯維爾大學獲得電機工程博士學位。因其在生物醫學轉譯研究領域的貢獻，El-Baz 博士被授予Coulter、AIMBE 和 NAI 的院士稱號。El-Baz 博士在生物成像建模和非侵入式電腦輔助診斷系統領域擁有近二十年的實務經驗。他已發表或共同撰寫超過500篇技術文章（155篇期刊文章、44本書籍、85章書籍、255篇經審稿的會議論文、196篇摘要，以及36項美國專利和披露）。
Jasjit S. Suri 是一位創新者、科學家、願景家、工業家，並且是國際知名的生物醫學工程領域世界領袖。Suri 博士在生物醫學工程/設備及其管理領域擁有超過25年的經驗。他在華盛頓大學（西雅圖）獲得博士學位，並在俄亥俄州克里夫蘭的凱斯西儲大學 Weatherhead 獲得商業管理科學學位。因其卓越的貢獻，Suri 博士於1980年獲得總統金獎勳章，並被美國醫療與生物工程學會授予院士稱號。2018年，他因其在醫學影像及其管理方面的卓越貢獻和奉獻精神，獲得了Marquis終身成就獎。
