Automatic Classification of Ulcers Through Visual Spectrum Image

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Rita A. Frade (Author) Other; Ricardo Vardasca (Author) FEUP; Rui Carvalho (Author) Other; Joaquim Mendes (Author) FEUP

Conference proceedings International

Title: European Congress on Computational Methods in Applied Sciences and Engineering: ECCOMAS 2017: VipIMAGE 2017

Pages: 297-305

6th ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE)

Porto, PORTUGAL, OCT 18-20, 2017

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 2 Citations

Other information

Authenticus ID: P-00N-570

DOI: 10.1007/978-3-319-68195-5_32

Abstract (EN): Chronic wounds are a health condition that constitutes a threat to the public health and economy, having a detrimental effect on patient's quality of life and high costs in treatment. Since chronic wounds do not perform a well-ordered reparative process, the anatomic and functional integrity of the damaged tissue are not restored, being of extreme importance the establishment of an appropriate treatment based on an accurate assessment of the state of the healing process. The aim of this research is to create an image processing methodology that characterizes chronic ulcers providing information about its area and tissue composition. The developed solution, which incorporates a flood fill algorithm to segment the ulcer and performs wound area calculation based on a calibration marker introduced during the image collection, was tested in diabetic foot ulcers, allows greater characterization of 97% of the 200 ulcers tested, with high correlation when compared with the clinical assessment, lower subjectivity, wound contamination probability and costs than conventional solutions.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9