A statistical model for characterization of histopathology images

Pablo Álvarez; Guatizalema Castro; Germán Corredor; Eduardo Romero

doi:10.1117/12.2073530

28 January 2015 A statistical model for characterization of histopathology images

Pablo Álvarez, Guatizalema Castro, Germán Corredor, Eduardo Romero

Proceedings Volume 9287, 10th International Symposium on Medical Information Processing and Analysis; 92870H (2015) https://doi.org/10.1117/12.2073530
Event: Tenth International Symposium on Medical Information Processing and Analysis, 2014, Cartagena de Indias, Colombia

Abstract

Accessing information of interest in collections of histopathology images is a challenging task. To address such issue, previous works have designed searching strategies based on the use of keywords and low-level features. However, those methods have demonstrated to not be enough or practical for this purpose. Alternative low-level features such as cell area, distance among cells and cell density are directly associated to simple histological concepts and could serve as good descriptors for this purpose. In this paper, a statistical model is adapted to represent the distribution of the areas occupied by cells for its use in whole histopathology image characterization. This novel descriptor facilitates the design of metrics based on distribution parameters and also provides new elements for a better image understanding. The proposed model was validated using image processing and statistical techniques. Results showed low error rates, demonstrating the accuracy of the model.

Citation Download Citation

Pablo Álvarez, Guatizalema Castro, Germán Corredor, and Eduardo Romero "A statistical model for characterization of histopathology images", Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92870H (28 January 2015); https://doi.org/10.1117/12.2073530

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