A semantic content-based retrieval method for histopathology images
Juan Carlos Caicedo, Fabio A. González, Eduardo Romero · 2008
Abstract. This paper proposes a model for content-based retrieval of histopathology images. The most remarkable characteristic of the proposed model is that it is able to extract high-level features that reflect the semantic content of the images. This is accomplished by a semantic mapper that maps conventional low-level features to high-level features using state-of-the-art machine-learning techniques. The semantic mapper is trained using images labeled by a pathologist. The system was tested on a collection of 1502 histopathology images and the performance assessed using standard measures. The results show an improvement from a 67 % of average precision for the first result, using low-level features, to 80 % of precision using high-level features. Keywords: databases. content-based image retrieval, medical imaging, image 1