Segmentation and 3D reconstruction of animal tissues in histological images

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

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

Conference proceedings International

Title: Computational and experimental biomedical sciences: methods and applications

Pages: 193-207

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

Indexing

Scopus - 4 Citations

Scientific classification

FOS: Engineering and technology

CORDIS: Technological sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15