Processing and classification of biological images: Application to histology

• Author(s): Nunes, B ; Rato, Luis ; Capela e Silva, F ; Rafael, A ; Cabrita, AS
• Date: 2011
• Persistent ID: http://hdl.handle.net/10174/3917
• Origin: Repositório Científico da Universidade de Évora
• Subject(s): Image processing; Segmentation; Classification; Feature extraction; Histology; Histology; Renal glomeruli
• Document Type: Article
• Language: English
• Editor(s): Jorge, RM; Tavares, JM; Barbosa, MP; Slade, AP

Description

This article deals with a histological problem by using image processing and feature extraction in images of renal tissues of rats and their classification through various methods such as: Bayesian inference, decision trees and support vector machines.