Application of Deep Learning Methods in Healthcare and Medical Science
暫譯: 深度學習方法在醫療與醫學科學中的應用

Tanwar, Rohit, Kumar, Prashant, Kumar, Malay

Application of Deep Learning Methods in Healthcare and Medical Science
  • 出版商: Apple Academic Press
  • 出版日期: 2022-12-26
  • 售價: $5,760
  • 貴賓價: 9.5 折 $5,472
  • 語言: 英文
  • 頁數: 304
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1774911205
  • ISBN-13: 9781774911204
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

商品描述

This volume provides a wealth of up-to-date information on developments and applications of deep learning in healthcare and medicine. It aims to provide deep insight and understanding of novel applications that address the tough questions of disease diagnosis, prevention, and immunization. The volume looks at applications of deep learning for major medical challenges such as cancer detection and identification, birth asphyxia among neonates, kidney abnormalities, white blood cell segmentation, diabetic retinopathy detection, and Covid-19 diagnosis, prevention, and immunization. The volume discusses applications of deep learning in detection, diagnosis, intensive examination and evaluation, genomic sequencing, convolutional neural networks for image recognition and processing, and more for health issues such as kidney problems, brain tumors, lung damage, and breast cancer. The authors look at ML for brain tumor segmentation, in lung CT scans, in digital X-Ray devices, and for a logistic and transport systems for effective delivery of healthcare.

Chapters include studies and discussions on chest X-ray images using CNN to identify Covid-19 infections, lung CT scan images using pre-trained VGG-16 and 3-layer CNN to distinguish Covid and non-Covid patients, genomic sequencing to study the Covid virus, breast cancer identification using CNN, brain tumor detection using multimodal image fusion and segmentation, factors responsible for birth asphyxia in neonates, and much more. It also explores cancer identification and detection using deep learning methods in the human body through algorithms based on issues, laboratory tests, imaging tests, biopsies, bone scans, computerized tomography scans, positron emission tomography, and ultrasound.

This volume, Application of Deep Learning Methods in Healthcare and Medical Science, showcases the diverse applications of patient-based data collection and analysis in medicine and healthcare using computer algorithms for effective health diagnosis, prevention, and patient care.

商品描述(中文翻譯)

本卷提供了有關深度學習在醫療保健和醫學領域的最新發展和應用的豐富資訊。其目的是深入了解和洞察針對疾病診斷、預防和免疫接種等棘手問題的新應用。本卷探討了深度學習在主要醫療挑戰中的應用，例如癌症檢測與識別、新生兒窒息、腎臟異常、白血球分割、糖尿病視網膜病變檢測，以及 Covid-19 的診斷、預防和免疫接種。本卷討論了深度學習在檢測、診斷、密集檢查與評估、基因組測序、用於影像識別和處理的卷積神經網絡等方面的應用，並針對腎臟問題、腦腫瘤、肺損傷和乳腺癌等健康問題進行探討。作者研究了在腦腫瘤分割、肺部 CT 掃描、數位 X 光設備中的機器學習，以及用於有效提供醫療保健的物流和運輸系統。

各章節包括使用卷積神經網絡（CNN）分析胸部 X 光影像以識別 Covid-19 感染、使用預訓練的 VGG-16 和 3 層 CNN 區分 Covid 和非 Covid 患者的肺部 CT 掃描影像、基因組測序研究 Covid 病毒、使用 CNN 進行乳腺癌識別、利用多模態影像融合和分割進行腦腫瘤檢測、導致新生兒窒息的因素等更多內容。它還探討了通過基於問題的算法、實驗室測試、影像測試、活檢、骨掃描、電腦斷層掃描、正子發射斷層掃描和超聲波等方法，使用深度學習技術在人體內進行癌症識別和檢測。

本卷《深度學習方法在醫療保健和醫學科學中的應用》展示了使用計算機算法進行有效健康診斷、預防和病人護理的患者數據收集和分析的多樣化應用。

作者簡介

Rohit Tanwar, PhD, is Associate Professor at the School of Computer Sciences, University of Petroleum and Energy Studies, Dehradun, India. He has more than 10 years of experience in teaching. His areas of interests include network security, optimization techniques, human computing, soft computing, cloud computing, data mining, etc. Dr. Tanwar has published one book and has several others in progress. He is associated with several international journals as guest editor and reviewer. He has more than 30 publications to his credit to date in reputed journals and conferences.

Prashant Kumar, PhD, is Assistant Professor in the Department of Computer Science and Engineering at the Dr. BR Ambedkar National Institute of Technology, Jalandhar, India. Previously he has worked with the Department of Systemics in the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India, and the Department of Computer Science and Engineering at the National Institute of Technology Hamirpur, India. He has published more than 25 research papers.

Malay Kumar, PhD, is Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology Dharwad, India. Earlier he was associated with the School of Computer Science of the University of Petroleum and Energy Studies, Dehradun, India. He has authored more than 20 research papers in international journals and conferences. He has served as chair and technical program committee member for international conferences and workshops and was a guest editor of several international journals.

Neha Nandal, PhD, is Associate Professor in the Computer Science and Engineering Department of the Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India. She has published 19 articles in her research area in different journals and conferences. Dr. Nandal has participated in workshops; completed courses on Python, machine learning, and deep learning on Coursera; and also hosted several faculty development programs.

作者簡介(中文翻譯)

羅希特·坦瓦爾 (Rohit Tanwar), PhD，是印度德拉敦石油與能源研究大學計算機科學學院的副教授。他擁有超過10年的教學經驗。其研究興趣包括網路安全、優化技術、人類計算、軟計算、雲計算、資料探勘等。坦瓦爾博士已出版一本書，並有幾本正在進行中。他與多本國際期刊擔任客座編輯和審稿人。截至目前，他在知名期刊和會議上發表了超過30篇論文。

普拉尚特·庫馬爾 (Prashant Kumar), PhD，是印度賈蘭達爾的布拉姆·阿姆貝德卡國立技術學院計算機科學與工程系的助理教授。之前，他曾在印度德拉敦石油與能源研究大學計算機科學學院的系統學系工作，以及在印度哈米爾普爾國立技術學院的計算機科學與工程系工作。他已發表超過25篇研究論文。

馬來·庫馬爾 (Malay Kumar), PhD，是印度達爾瓦德資訊技術學院計算機科學與工程系的助理教授。早前，他曾在印度德拉敦石油與能源研究大學的計算機科學學院工作。他在國際期刊和會議上發表了超過20篇研究論文。他曾擔任國際會議和研討會的主席及技術計畫委員會成員，並擔任多本國際期刊的客座編輯。

內哈·南達爾 (Neha Nandal), PhD，是印度海得拉巴戈卡拉朱·蘭加拉朱工程技術學院計算機科學與工程系的副教授。她在不同的期刊和會議上發表了19篇與其研究領域相關的文章。南達爾博士參加過多個研討會；在Coursera上完成了Python、機器學習和深度學習的課程；並主持了多個教師發展計畫。

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