Muutke küpsiste eelistusi

E-raamat: Grammar Formalism for Medical Data Analysis: Its Application in ECG, Scintigraphy and Tomography

  • Formaat: 215 pages
  • Ilmumisaeg: 30-May-2022
  • Kirjastus: Cambridge Scholars Publishing
  • ISBN-13: 9781527584303
  • Formaat - PDF+DRM
  • Hind: 137,79 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: 215 pages
  • Ilmumisaeg: 30-May-2022
  • Kirjastus: Cambridge Scholars Publishing
  • ISBN-13: 9781527584303

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book will assist in medical diagnosis and clinical decision making in cardiology. While grammar has long been used in the analysis of programming languages and to describe natural languages, the discipline can be extended to other areas of applications such as the ECG signal, the scintigraphic image and the tomographic image. Compared to statistical methods, the use of grammars in cardiology offers more flexibility in applications and can powerfully represent object structures, and therefore make information retrieval and medical diagnosis easier.
Asma Ben Abdallah is an Assistant Professor of Computer Science at the Higher Institute of Informatics and Mathematics of the University of Monastir, Tunisia. She received her PhD in Computer Science from the National School of Computer Sciences, Tunisia, in 2007. Her current research topics focus on medical imaging and signals.Mohamed Hédi Bedoui is a Full Professor of Biophysics and Medical Technology at the Faculty of Medicine of the University of Monastir, Tunisia. He received his PhD from the University of Lille, France, in 1992. He is the President of the Tunisian Association for the Promotion of Applied Research and the coordinator of a number of national and international research project in the field of medical image and signal processing. He is the author and co-author of more than 180 papers.Salah Hamdi received his MSc in Computer Sciences and his PhD in Computer Systems Engineering from the University of Sfax, Tunisia, in 2008 and 2016, respectively. Currently, he is an Assistant Professor at the Higher Institute of Finance and Taxation of Sousse of the University of Sousse, Tunisia, and Senior Researcher at the Laboratory of Technology and Imaging at the Faculty of Medicine of the University of Monastir, Tunisia.