Escudo de la República de Colombia
Sistema Nacional de Biliotecas - Repositorio Institucional Universidad Nacional de Colombia Biblioteca Digital - Repositorio Institucional UN Sistema Nacional de Bibliotecas UN

Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization

Cruz Roa, Angel Alfonso and Díaz Cabrera, Gloria Mercedes and Romero Castro, Eduardo and González Osorio, Fabio Augusto (2012) Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization. Journal of Pathology Informatics, 2 (2). pp. 4-13.

Texto completo

[img] PDF - Versión Aceptada
Available under License Creative Commons Attribution Non-commercial No Derivatives.

6MB

URL oficial: http://www.jpathinformatics.org/

Resumen

Histopathological images are an important resource for clinical diagnosis and biomedical research. From an image understanding point of view, the automatic annotation of these images is a challenging problem. This paper presents a new method for automatic histopathological image annotation based on three complementary strategies, first, a part-based image representation, called the bag of features, which takes advantage of the natural redundancy of histopathological images for capturing the fundamental patterns of biological structures, second, a latent topic model, based on non-negative matrix factorization, which captures the high-level visual patterns hidden in the image, and, third, a probabilistic annotation model that links visual appearance of morphological and architectural features associated to 10 histopathological image annotations. The method was evaluated using 1,604 annotated images of skin tissues, which included normal and pathological architectural and morphological features, obtaining a recall of 74% and a precision of 50%, which improved a baseline annotation method based on support vector machines in a 64% and 24%, respectively.

Tipo de documento:Artículo - Article
Palabras clave:Basal Cell Carcinoma; Histopathology Images; Automatic Annotation; Visual Latent Semantic Analysis; Non-negative Matrix Factorization; Bag of Features
Temática:6 Tecnología (ciencias aplicadas) / Technology
6 Tecnología (ciencias aplicadas) / Technology > 61 Ciencias médicas; Medicina / Medicine & health
Unidad administrativa:Sede Bogotá > Facultad de Medicina > Instituto de Investigaciones Biomédicas
Código ID:5770
Enviado por : Ing. Angel Alfonso Cruz Roa
Enviado el día :02 Febrero 2012 13:48
Ultima modificación:02 Febrero 2012 16:32
Ultima modificación:02 Febrero 2012 16:32
Exportar:Clic aquí
Estadísticas:Clic aquí
Compartir:

Solamente administradores del repositorio: página de control del ítem

Vicerrectoría de Investigación: Número uno en investigación
Indexado por:
Indexado por Scholar Google WorldCat DRIVER Metabiblioteca OAIster BASE BDCOL Registry of Open Access Repositories SNAAC Red de repositorios latinoamericanos eprints Open archives La referencia Tesis latinoamericanas OpenDOAR CLACSO
Este sitio web se ve mejor en Firefox