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Proceedings Paper

A radiology image retrieval system based on user preferences
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Paper Abstract

This article introduces a computer-aided solution for radiology education integrated with the clinic practice, inherited from modern technologies that facilitate the processing of large amounts of stored information. Radiology training may have several challenges such as image retrieval, extraction of knowledge, education towards solving problems and the interaction with huge repositories known as Picture Archiving and Communication Systems (PACS). This project proposes a user-based system that learns from user interaction, retrieving not just the requested information but recommending related cases and interesting images. The recommended images are retrieved using a Click-through rate (CTR) strategy for defining the most similar cases in the database. This is a fully web-based proposal, potentially useful at classroom or home, that allows students to develop the clinical skills needed in a more realistic scenario.

Paper Details

Date Published: 26 January 2017
PDF: 7 pages
Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 1016018 (26 January 2017); doi: 10.1117/12.2257305
Show Author Affiliations
Lina Guzmán, Univ. Nacional de Colombia (Colombia)
Germán Corredor, Univ. Nacional de Colombia (Colombia)
Eduardo Romero, Univ. Nacional de Colombia (Colombia)
Eduardo Romero , Univ. Nacional de Colombia (Colombia)

Published in SPIE Proceedings Vol. 10160:
12th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Jorge Brieva; Ignacio Larrabide; , Editor(s)

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