Automatic Classification of Ulcers Through Visual Spectrum Image

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

Rita A. Frade (Autor) Outra; Ricardo Vardasca (Autor) FEUP; Rui Carvalho (Autor) Outra; Joaquim Mendes (Autor) FEUP

Ata de Conferência Internacional

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

Páginas: 297-305

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

Porto, PORTUGAL, OCT 18-20, 2017

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 2 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9