Machine Learning Applications in Medicine and Biology

Ahmed, Ammar, Picone, Joseph

Machine Learning Applications in Medicine and Biology
  • 出版商: Springer
  • 出版日期: 2024-03-30
  • 售價: $4,410
  • 貴賓價: 9.5 折 $4,190
  • 語言: 英文
  • 頁數: 168
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031518926
  • ISBN-13: 9783031518928
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book combines selected papers from the 2022 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) held at Temple University. The symposium presents multidisciplinary research in the life sciences. Topics covered include:

  • Signal and image analysis (EEG, ECG, MRI)
  • Machine learning
  • Data mining and classification
  • Big data resources

Applications of particular interest at the 2022 symposium included digital pathology, computational biology, and quantum computing. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers in signal processing, medicine, and biology.


商品描述(中文翻譯)

本書結合了2022年IEEE醫學與生物信號處理研討會（IEEE SPMB）在天普大學舉辦的精選論文。該研討會呈現了生命科學領域的多學科研究。討論的主題包括：
- 信號和影像分析（腦電圖、心電圖、磁共振成像）
- 機器學習
- 數據挖掘和分類
- 大數據資源

2022年研討會特別關注的應用領域包括數位病理學、計算生物學和量子計算。本書提供了教程和成功應用的示例，將吸引廣泛的信號處理、醫學和生物學專業人士和研究人員的興趣。

作者簡介

Ammar Ahmed, Ph.D., received his Ph.D. degree from Temple University, USA, in 2021. He is a radar signal processing engineer at Aptiv, Agoura Hills, CA, USA. From 2011 to 2016, Dr. Ahmed served as an electrical engineer for the National Tokamak Fusion Program, where he was responsible for developing an embedded system design of spherical tokamaks. He also spent the summer of 2020 (May-August) as an intern at Qualcomm Technologies, Inc., in San Diego, CA. His research interests are signal processing, data analysis, optimization, and radar systems.

Joseph Picone, Ph.D., received his Ph.D. in Electrical Engineering in 1983 from the Illinois Institute of Technology. He is a professor in the Department of Electrical and Computer Engineering at Temple University. He has spent significant portions of his career in academia (MS State), research (Texas Instruments, AT&T), and the government (NSA). His primary research interests currently are applications of machine learning in the health sciences. Dr. Picone's research funding sources over the years have included NSF, NIH, DoD, and DARPA as well as the private sector. He has also been involved in several startup companies in healthcare. For over 40 years, his research groups have been known for producing many innovative open-source materials for education and research, including the first state of the art public domain speech recognition system and the TUH EEG Corpus, which has over 8,000 subscribers (see www.isip.piconepress.com). Dr. Picone is a Senior Member of the IEEE, has published extensively in many signal processing-related fields, and holds several patents in human language technology.


作者簡介(中文翻譯)

Ammar Ahmed博士於2021年從美國天普大學獲得博士學位。他目前在美國加利福尼亞州阿古拉希爾斯的Aptiv擔任雷達信號處理工程師。從2011年到2016年，Ahmed博士在國家托卡馬克聚變計劃擔任電氣工程師，負責開發球形托卡馬克的嵌入式系統設計。他還在2020年夏季（5月至8月）在美國加利福尼亞州聖地亞哥的高通技術公司實習。他的研究興趣包括信號處理、數據分析、優化和雷達系統。

Joseph Picone博士於1983年從伊利諾伊理工學院獲得電氣工程博士學位。他是天普大學電氣與計算機工程系的教授。他的職業生涯中，他在學術界（密西西比州立大學）、研究領域（德州儀器、AT&T）和政府部門（國家安全局）都有重要的貢獻。他目前的主要研究興趣是機器學習在健康科學中的應用。多年來，Picone博士的研究資金來源包括美國國家科學基金會、美國國家衛生研究院、美國國防部和美國高級研究計劃署，以及私營部門。他還參與了幾家醫療保健初創公司。在過去40多年中，他的研究團隊以生產許多創新的開源教育和研究材料而聞名，包括第一個最先進的公共領域語音識別系統和TUH EEG Corpus，該系統已有超過8,000名訂閱者（請參閱www.isip.piconepress.com）。Picone博士是IEEE的高級會員，他在許多與信號處理相關的領域發表了大量論文，並擁有多項人類語言技術的專利。

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