Machine Learning and Deep Learning in Neuroimaging Data Analysis
暫譯: 神經影像數據分析中的機器學習與深度學習

Pillai, Anitha S., Menon, Bindu

Machine Learning and Deep Learning in Neuroimaging Data Analysis
  • 出版商: CRC
  • 出版日期: 2025-12-25
  • 售價: $2,870
  • 貴賓價: 9.5 折 $2,727
  • 語言: 英文
  • 頁數: 124
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032207000
  • ISBN-13: 9781032207001
  • 相關分類: DeepLearning、Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research.

商品描述(中文翻譯)

機器學習（Machine Learning, ML）和深度學習（Deep Learning, DL）已成為醫療保健中不可或缺的工具。它們能夠處理大量數據以尋找模式，並被應用於管理和理解醫療數據的方法中，無論是電子健康紀錄還是醫學影像。本書探討了 ML/DL 如何協助神經科醫生識別、分類或預測需要神經影像學的神經問題。透過建模高維數據集，監督式學習算法可以幫助將腦部影像與行為或臨床觀察相關聯，而非監督式學習則可以揭示影像中的隱藏結構/模式。這些章節匯集了人工智慧（Artificial Intelligence, AI）專家和醫療從業人員，涵蓋了大多數使用神經影像進行診斷的神經問題，並提供案例研究和未來研究的方向。

作者簡介

Anitha S. Pillai is a Professor in the School of Computing Sciences, Hindustan Institute of Technology and Science, India. She obtained a Ph.D. in the field of Natural Language Processing and has three decades of teaching/research experience. She has authored and co-authored several papers in national and international conferences/journals. She is also the Co-founder of AtINeu-Artificial Intelligence in Neurology, focusing on the applications of AI in neurological disorders.

Prof. Bindu Menon is the senior consultant neurologist, Apollo Hospitals, Nellore, Andhra Pradesh, with a teaching experience of 20 years. She has over 90 publications in various international and national journals, and has presented 100 papers and edited 2 books; she has 14 chapters to her credit. She has been conferred with a fellowship from the American Academy of Neurology, World Stroke Organization, Royal College of Physicians (Edinburg), Indian Academy of Neurology, Geriatric Society of India, Indian College of Physicians and Global Association of Physicians of Indian Origin.

She holds various positions and has several international and national awards. She is the founder of Dr. Bindu Menon Foundation and the Co-founder of AtINeu-Artificial Intelligence in Neurology.

作者簡介(中文翻譯)

Anitha S. Pillai 是印度亨德斯坦科技與科學學院計算科學學院的教授。她在自然語言處理領域獲得博士學位，並擁有三十年的教學和研究經驗。她在國內外的會議和期刊上發表了多篇論文，並擔任多篇論文的共同作者。她也是AtINeu-神經學中的人工智慧的共同創辦人，專注於人工智慧在神經疾病中的應用。

Prof. Bindu Menon 是安得拉邦內洛爾阿波羅醫院的資深顧問神經科醫生，擁有20年的教學經驗。她在各種國際和國內期刊上發表了超過90篇論文，並發表了100篇論文，編輯了2本書籍，擁有14個章節的著作。她獲得了美國神經學學會、世界中風組織、愛丁堡皇家內科醫學院、印度神經學學會、印度老年醫學會、印度內科醫學院及全球印度裔醫生協會的獎學金。

她擔任多個職位並獲得多項國際和國內獎項。她是Dr. Bindu Menon Foundation的創辦人，也是AtINeu-神經學中的人工智慧的共同創辦人。

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