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A01=Karol Przystalski
A01=Rohit M. Thanki
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Age Group_Uncategorized
Author_Karol Przystalski
Author_Rohit M. Thanki
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Category1=Non-Fiction
Category=MQW
Category=TJK
Category=UBH
Category=UYQ
COP=Switzerland
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Price_€50 to €100
PS=Forthcoming
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Explainable Machine Learning in Medicine

English

By (author): Karol Przystalski Rohit M. Thanki

This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers. The book is a primer of methods for medicine, providing an overview of explainable artificial intelligence (AI) techniques that can be applied in different medical challenges. The authors discuss how to select and apply the proper technology depending on the provided data and the analysis desired. Because a variety of data can be used in the medical field, the book explains how to deal with challenges connected with each type. A number of scenarios are introduced that can happen in real-time environments, with each pared with a type of machine learning that can be used to solve it.

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Current price €73.03
Original price €82.99
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A01=Karol PrzystalskiA01=Rohit M. ThankiAge Group_UncategorizedAuthor_Karol PrzystalskiAuthor_Rohit M. Thankiautomatic-updateCategory1=Non-FictionCategory=MQWCategory=TJKCategory=UBHCategory=UYQCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 08 Dec 2023

Product Details
  • Dimensions: 168 x 240mm
  • Publication Date: 08 Dec 2023
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031448768

About Karol PrzystalskiRohit M. Thanki

Dr. Karol Przystalski obtained a PhD degree in Computer Science in 2017 at the Jagiellonian University in Cracow Poland. He use to be the CTO and founder of Codete an Exadel company. He is working with Fortune 500 companies on data science projects. He has built a research lab for machine learning methods and big data solutions at Codete. He gives speeches and trainings in data science with a focus on applied machine learning in German Polish and English. He is a lecturer at the Jagiellonian University in Cracow since 2010. He has been invited as a reviewer in Expert Systems with Applications journal. His areas of research interest are medical imaging analysis artificial intelligence machine learning deep learning machine learning security pattern recognition and image processing.  Dr. Rohit Thanki is a senior member of IEEE and researcher with more than 10 years of research experience in computer vision artificial intelligence medical image analysis & security and biometrics including more than 4 years of academic experience in various engineering institutions in India. He was worked as a head of research & development Prognica Labs Tech FZCO Dubai UAE. Also He was associated with Ennoventure Technologies Private Limited Bengaluru India. He earned my bachelor's in electronics & communication a master's in communication engineering and a doctorate in electronics & communication specializing in digital image processing and biometric security. His areas of research interest are medical image analysis artificial intelligence machine learning deep learning digital watermarking biometric security compressive sensing and signal processing. He has over 40 publications to his credit and has published in reputed journals with high impact factors and international conferences indexing in Web of Science and Scopus. Also He is an authored and contributed more than 15 books with respected publishers i.e. Springer CRC Press Elsevier De Gruyter and IGI Global. In addition He has been invited as a reviewer in various reputed journals such as IEEE Transactions on Audio Speech and Natural Language Processing ACM Transactions on Multimedia Computing Communications and Applications IEEE Consumer Electronics Magazine IEEE Access IEEE Journal of Biomedical and Health Informatics Signal Processing: Image Communication Pattern Recognition Computers and Electrical Engineering Informatics in Medicine Journal of Ambient Intelligence and Humanized Computing IET Biometrics and IET Image Processing.

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