Title :
Ontology-Guided Approach to Retrieving Disease Manifestation Images for Health Image Base Construction
Author :
Chen, Yang ; Ren, Xiaofeng ; Zhang, Guo-Qiang ; Xu, Rong
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., Case Western Reserve Univ., Cleveland, OH, USA
Abstract :
Building a comprehensive medical image database, in the spirit of the UMLS, can be beneficial for assisting diagnosis, patient education and self-care. However, a highly curated, comprehensive image database is difficult to collect as well as to annotate. We present an approach to combine visual object detection technologies with medical ontology to automatically mine web photos and retrieve a large number of disease manifestation images with minimal manual labeling. Comparing to a supervised approach, our ontology-guided approach reduces manual labeling effort to 1/10 on a variety of eye/ear/mouth diseases and improves the precision of retrieval by over 10% in many cases.
Keywords :
data mining; diseases; ear; eye; image retrieval; medical image processing; object detection; ontologies (artificial intelligence); visual databases; UMLS; automatic Web photo mining; disease manifestation image retrieving; ear diseases; eye diseases; health image base construction; image database annotation; medical image database; medical ontology-guided approach; mouth diseases; patient education; retrieval precision improvement; supervised approach; visual object detection technologies; Detectors; Diseases; Manuals; Medical diagnostic imaging; Mouth; Standards;
Conference_Titel :
Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-4803-4
DOI :
10.1109/HISB.2012.32
