@inproceedings{4e667a687753493abd86b7dc1803e924,
title = "Manual query modification and data fusion for medical image retrieval",
abstract = "Image retrieval has great potential for a variety of tasks in medicine but is currently underdeveloped. For the ImageCLEF 2005 medical task, we used a text retrieval system as the foundation of our experiments to assess retrieval of images from the test collection. We conducted experiments using automatic queries, manual queries, and manual queries augmented with results from visual queries. The best performance was obtained from manual modification of queries. The combination of manual and visual retrieval results resulted in lower performance based on mean average precision but higher precision within the top 30 results. Further research is needed not only to sort out the relative benefit of textual and visual methods in image retrieval but also to determine which performance measures are most relevant to the operational setting.",
author = "Jensen, {Jeffery R.} and Hersh, {William R.}",
year = "2006",
doi = "10.1007/11878773_74",
language = "English (US)",
isbn = "354045697X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "673--679",
booktitle = "Accessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005",
note = "Accessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005 ; Conference date: 21-09-2005 Through 23-09-2005",
}