Open access peer-reviewed Edited Volume

Computer Vision in Dentistry

Edited by Monika Machoy

Pomeranian Medical University

The currently available technical and technological solutions of visualization in dentistry are a number of possibilities in creating images useful both for dentists and technicians. To gain a three-dimensional image of a patient's face and profile to visualize changes in appearance after applying a specific therapeutic method in the field of prosthodontics or orthodontics is no longer a problem. The same applies to a very accurate scan of the area to be treated - the exact map of the working field, on the basis of which the implementation of even very difficult dental procedures can be easily planned. Equally available are three-dimensional images of the patient's skull. The book presents the newest means and capabilities of visualization in different fields of dentistry.

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Computer Vision in DentistryEdited by Monika Machoy

Published: September 18th 2019

DOI: 10.5772/intechopen.76268

ISBN: 978-1-83962-187-1

Print ISBN: 978-1-83962-186-4

eBook (PDF) ISBN: 978-1-83962-188-8

Copyright year: 2019

Books open for chapter submissions

2653 Total Chapter Downloads

3 Crossref Citations

3 Dimensions Citations


Open access peer-reviewed

1. Introductory Chapter: Computer Vision in Dentistry

By Monika Elżbieta Machoy


Open access peer-reviewed

2. Intelligent Assisting Tools for Endodontic Treatment

By Csaba Dobo-Nagy and Balazs Benyo


Open access peer-reviewed

3. Optical Impression in Restorative Dentistry

By Ji-Man Park and June-Sung Shim


Open access peer-reviewed

4. Role of Computer Technology in Changing Smile

By Swapnil B. Shankargouda, Preena Sidhu and Sonica Miyyapuram


Open access peer-reviewed

5. Clinical Computing in Dentistry

By Aswini Kumar Kar, Prabhu Yuvaraj, Mirna Garhnayak, Shruti Vishal Dev, Purna Chandra Mishra, Tapan Kumar Patro, Loknath Garhnayak, Sonali Perti and Nabagata Ganchoudhury


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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