Abstract

The paper presents the concept of using color template charts for the needs of telemedicine, particularly telediagnosis of the stoma. Although the concept is not new, the current popularity and level of development of digital cameras, especially those embedded in smartphones, allow common and reliable remote advice on various medical problems, which can be very important in the case of limitations in a physical contact with a doctor. The article focuses on the initial stages of photo processing for the needs of telemedicine, i.e., on the assumptions and the process of designing the appropriate template and detecting it in photos for stoma telediagnosis. Research on the developed algorithms for the location of fiducial markers and reference color fields, carried out on the basis of over 2,000 photos, showed a very high tolerance to scene exposure, lighting conditions and the camera used. The obtained results allowed the initial image intensity normalization of the stoma area as well as correct localization and measurement of changes detected on the skin and the mucosa, which, in the opinion of doctors, significantly increased the diagnostic value of the photographs.

Details

Title
Template Chart Detection for Stoma Telediagnosis
Author
Szwoch, Mariusz 1 ; Zawiślak, Rafał 2 ; Granosik, Grzegorz 2 ; Mik-Wojtczak, Joanna 3 ; Mik, Michał 4 

 Faculty of Electronics, Telecommunications and Informatics Gdańsk University of Technology ul. Narutowicza 11/12, 80-233 Gdańsk, Poland 
 Faculty of Electrical, Electronic, Computer and Control Engineering Lodz University of Technology ul. Stefanowskiego 18, 90-537 Lodz, Poland 
 Faculty of Organization and Management, Lodz University of Technology ul. Piotrkowska 266, 90-924 Lodz, Poland; PHIN Consulting Ltd. ul. Czestochowska 63, 93-115 Lodz, Poland 
 Department of General and Colorectal Surgery Medical University of Lodz ul. Zeromskiego 113, 90-549 Lodz, Poland; PHIN Consulting Ltd. ul. Czestochowska 63, 93-115 Lodz, Poland 
Pages
147-160
Publication year
2022
Publication date
2022
Publisher
De Gruyter Poland
ISSN
1641876X
e-ISSN
20838492
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2645852905
Copyright
© 2022. This work is published under http://creativecommons.org/licenses/by-nc-nd/3.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.