A Semantic Content-Based Retrieval Method for Histopathology Images

摘要：

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.

关键词： content-based image retrieval medical imaging image databases

作者: Juan C.Caicedo Fabio A.Gonzalez Eduardo Romero

作者单位: Bioingenium Research Group Universidad Nacional de Colombia

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 51-60

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）