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 ...
The accurate recognition of text that appears in images/videos using analytical character recognition methods is often very difficult, despite the fact that the text might be corr...
This paper presents the SRIS-HC – an Patient Electronic Medical Record System with support for Content-based Image Retrieval, developed aiming at demonstrating the benefits of h...
Agma J. M. Traina, Natalia Abdala Rosa, Caetano Tr...
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Abstract. Dissimilarity measurement plays a crucial role in contentbased image retrieval, where data objects and queries are represented as vectors in high-dimensional content feat...