Retrieval by Content of Medical Images Using Texture for Tissue Identification

This work aims at supporting the retrieval and indexing of medical images by extracting and organizing intrinsic features of them, more specifically texture attributes from images. A tool for obtaining the relevant textures was implemented. This tool retrieves and classifies images using the extracted values, and allows the user to issue similarity queries. The application of the proposed method on images has given encouraging results that motivate to apply the method as a basis to more experiments, at diversified contexts. The accuracy degree obtained from the precision and recall plots was always over 90% for queries asking for similar images for up to 20% of the database.

• Type: Conference
• Year: 2003
• Where: CBMS
• Authors: Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.
• Keywords: CBMS 2003, Images, Medical Images, Medical Imaging, Similarity Queries