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Proceedings Paper

Bag-of-visual-ngrams for histopathology image classification
Author(s): A. Pastor López-Monroy; Manuel Montes-y-Gómez; Hugo Jair Escalante; Angel Cruz-Roa; Fabio A. González
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Paper Abstract

This paper describes an extension of the Bag-of-Visual-Words (BoVW) representation for image categorization (IC) of histophatology images. This representation is one of the most used approaches in several high-level computer vision tasks. However, the BoVW representation has an important limitation: the disregarding of spatial information among visual words. This information may be useful to capture discriminative visual-patterns in specific computer vision tasks. In order to overcome this problem we propose the use of visual n-grams. N-grams based-representations are very popular in the field of natural language processing (NLP), in particular within text mining and information retrieval. We propose building a codebook of n-grams and then representing images by histograms of visual n-grams. We evaluate our proposal in the challenging task of classifying histopathology images. The novelty of our proposal lies in the fact that we use n-grams as attributes for a classification model (together with visual-words, i.e., 1-grams). This is common practice within NLP, although, to the best of our knowledge, this idea has not been explored yet within computer vision. We report experimental results in a database of histopathology images where our proposed method outperforms the traditional BoVWs formulation.

Paper Details

Date Published: 19 November 2013
PDF: 12 pages
Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220P (19 November 2013); doi: 10.1117/12.2034113
Show Author Affiliations
A. Pastor López-Monroy, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
Manuel Montes-y-Gómez, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
Hugo Jair Escalante, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
Angel Cruz-Roa, Univ. Nacional de Colombia (Colombia)
Fabio A. González, Univ. Nacional de Colombia (Colombia)

Published in SPIE Proceedings Vol. 8922:
IX International Seminar on Medical Information Processing and Analysis
Jorge Brieva; Boris Escalante-Ramírez, Editor(s)

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