Advances in Deep Learning for Medical Image Analysis
暫譯: 醫學影像分析中的深度學習進展
Mire, Archana, Elangovan, Vinayak, Patil, Shailaja
- 出版商: CRC
- 出版日期: 2022-04-27
- 售價: $4,910
- 貴賓價: 9.5 折 $4,665
- 語言: 英文
- 頁數: 154
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032137169
- ISBN-13: 9781032137162
-
相關分類:
DeepLearning
海外代購書籍(需單獨結帳)
商品描述
This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases.
The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer's disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
商品描述(中文翻譯)
這本參考書介紹了經典的機率模型、深度學習和大數據技術，以改善醫學影像並檢測各種疾病。
本書涵蓋了醫學影像中多種應用領域，深度學習技術在這些領域中提供了較少人為干預和縮短時間的解決方案。內容全面涵蓋了信號分析的重要機器學習、癌症檢測的深度學習技術、糖尿病案例、皮膚影像分析、阿茲海默症檢測、冠心病檢測、醫學影像取證、胎兒畸形檢測以及植物生理學等主題。本書將成為電子工程、計算機科學、生物醫學工程和電氣工程領域的研究生和學術研究者的有用參考資料。
作者簡介
Archana Mire is presently working as Head, Department of computer engineering, Terna Engineering College, Navi Mumbai, India. She has more than 14 years of research and teaching experience. She has published research papers in various SCI/Scopus indexed national/international conferences and journals. She has worked on various national/International conference technical committees and reviewed papers for various conferences and journals. She has served as a session chair for various international conferences organized within and outside India. Her main research area is machine learning and image processing.
Vinayak Elangovan is currently working as an assistant professor of Computer Science at Penn State University in Abington, USA. He earned his Ph.D. in Computer Information Systems Engineering at Tennessee State University, the USA in 2014, and continued his research and teaching there as a Postdoctoral fellow. He worked at The College of New Jersey (TCNJ) and St. Olaf College teaching various computer science courses for undergraduate students during 2015-2017. His research interest includes computer vision, machine vision, multi-sensor data fusion, and activity sequence analysis with a keen interest in software applications development and database management. He has worked on a number of funded projects related to the Department of Defense and the Department of Homeland Security applications. He also has considerable work experience in the engineering and software industries.
Shailaja Patil is currently working as a professor, department of electronics and telecommunication, and Dean (Research and Development), Rajarshi Shahu College of Engineering, Pune, India. She has 25 years of teaching and 3 years of research experience. She has more than 60 publications in peer-reviewed journals. She has delivered expert lectures on WSN, SDN, and Intellectual property Rights at various workshops. She is a Fellow of the Institution of Engineers and members of various professional bodies- IEEE, ISTE, GISFI, ISA, ACM, etc.
作者簡介(中文翻譯)
Archana Mire 目前擔任印度納維孟買 Terna 工程學院計算機工程系主任。她擁有超過 14 年的研究和教學經驗。她在各種 SCI/Scopus 索引的國內/國際會議和期刊上發表了研究論文。她曾參與多個國內/國際會議的技術委員會，並為各種會議和期刊審稿。她曾擔任多個在印度及國外舉辦的國際會議的會議主席。她的主要研究領域是機器學習和影像處理。
Vinayak Elangovan 目前在美國賓州州立大學阿賓頓校區擔任計算機科學助理教授。他於 2014 年在美國田納西州立大學獲得計算機資訊系統工程博士學位，並在那裡繼續擔任博士後研究員進行研究和教學。他曾在新澤西學院 (TCNJ) 和聖奧拉夫學院教授各種計算機科學課程，服務於 2015 至 2017 年期間。他的研究興趣包括計算機視覺、機器視覺、多傳感器數據融合和活動序列分析，並對軟體應用開發和數據庫管理有濃厚的興趣。他參與了多個與國防部和國土安全部應用相關的資助項目，並在工程和軟體產業擁有相當的工作經驗。
Shailaja Patil 目前擔任印度浦那 Rajarshi Shahu 工程學院電子與電信系教授及研究與發展院長。她擁有 25 年的教學經驗和 3 年的研究經驗。她在同行評審的期刊上發表了超過 60 篇論文。她在各種研討會上就無線傳感器網絡 (WSN)、軟體定義網絡 (SDN) 和智慧財產權進行了專家講座。她是工程師學會的院士，並且是多個專業機構的成員，包括 IEEE、ISTE、GISFI、ISA、ACM 等。
