Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/78478
Author(s): Liliana Azevedo
Augusto M. R. Faustino
João Manuel R. S. Tavares
Title: Segmentation and 3D reconstruction of animal tissues in histological images
Issue Date: 2015
Abstract: Histology is considered the "gold standard" to access anatomical informationat a cellular level. In histological studies, tissue samples are cut into very thinsections, stained, and observed under a microscope by a specialist. Such studies,mainly concerning tissue structures, cellular components and their interactions, canbe useful to detect and diagnose certain pathologies. Thus, to find new techniquesand computational solutions to assist this diagnosis, such as the 3D image basedtissue reconstruction, is extremely interesting. In this chapter, a methodology tobuild 3D models from histological images is proposed, and the results obtained usingthis methodology in four experimental cases are presented and discussed based onquantitative and qualitative metrics.
Subject: Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
Scientific areas: Ciências da engenharia e tecnologias
Engineering and technology
URI: https://repositorio-aberto.up.pt/handle/10216/78478
Source: Computational and experimental biomedical sciences: methods and applications
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional
ICBAS - Artigo em Livro de Atas de Conferência Internacional

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