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 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. |
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://hdl.handle.net/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 |
Files in This Item:
File | Description | Size | Format | |
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100457.pdf | Paper | 1.41 MB | Adobe PDF | View/Open |
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