Segmentation and 3D reconstruction of animal tissues in histological images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Liliana Azevedo (Autor) FEUP; Augusto M. R. Faustino (Autor) ICBAS; João Manuel R. S. Tavares (Autor) FEUP

Ata de Conferência Internacional

Título: Computational and experimental biomedical sciences: methods and applications

Páginas: 193-207

ICCEBS 2013 – 1st International Conference on Computational and Experimental Biomedical Sciences, Azores, 20-22 October 2013

Indexação

Scopus - 4 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-00G-22E

DOI: 10.1007/978-3-319-15799-3_14

Abstract (EN): Histology is considered the "gold standard" to access anatomical information at a cellular level. In histological studies, tissue samples are cut into very thin sections, stained, and observed under a microscope by a specialist. Such studies, mainly concerning tissue structures, cellular components and their interactions, can be useful to detect and diagnose certain pathologies. Thus, to find new techniques and computational solutions to assist this diagnosis, such as the 3D image based tissue reconstruction, is extremely interesting. In this chapter, a methodology to build 3D models from histological images is proposed, and the results obtained using this methodology in four experimental cases are presented and discussed based on quantitative and qualitative metrics.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 15