Machine Learning Applications in Medicine and Biology
暫譯: 醫學與生物學中的機器學習應用

Ahmed, Ammar, Picone, Joseph

Machine Learning Applications in Medicine and Biology
  • 出版商: Springer
  • 出版日期: 2025-03-31
  • 售價: $4,290
  • 貴賓價: 9.5 折 $4,076
  • 語言: 英文
  • 頁數: 168
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031518950
  • ISBN-13: 9783031518959
  • 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年於天普大學舉行的IEEE醫學與生物信號處理研討會（IEEE SPMB）中選定的論文。該研討會展示了生命科學領域的多學科研究。涵蓋的主題包括：

- 信號與影像分析（EEG、ECG、MRI）
- 機器學習
- 數據挖掘與分類
- 大數據資源

2022年研討會中特別感興趣的應用包括數位病理學、計算生物學和量子計算。本書包含了教程和成功應用的範例，將吸引信號處理、醫學和生物學領域的廣泛專業人士和研究者。

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 年獲得美國天普大學的博士學位。他目前是美國加州阿古拉山的 Aptiv 公司的雷達信號處理工程師。從 2011 年到 2016 年，Ahmed 博士擔任國家托卡馬克融合計畫的電氣工程師，負責開發球形托卡馬克的嵌入式系統設計。他還於 2020 年夏季（5 月至 8 月）在加州聖地牙哥的 Qualcomm Technologies, Inc. 擔任實習生。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 年在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。他的職業生涯中有相當一部分時間在學術界（密西西比州立大學）、研究機構（德州儀器、AT&T）和政府機構（國家安全局）工作。他目前的主要研究興趣是機器學習在健康科學中的應用。Picone 博士多年的研究資金來源包括 NSF、NIH、國防部和 DARPA，以及私營部門。他還參與了幾家醫療保健的初創公司。在過去的 40 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 語料庫，該語料庫擁有超過 8,000 名訂閱者（請參見 www.isip.piconepress.com）。Picone 博士是 IEEE 的資深會員，在許多與信號處理相關的領域發表了大量文章，並擁有多項人類語言技術的專利。

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