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Abstract: Given a large collection of medical images of several conditions and treatments, how can we succinctly describe the characteristics of each setting? For example, given a large collection of retinal images from several different experimental conditions (normal, detached, reattached, etc.), how can data mining help biologists focus on important regions in the images or on the differences between different experimental conditions? If the images were text documents, we could find the main terms... (Update)
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BibTeX entry: (Update)
@misc{ biomedical-vivo,
author = "For Mining Biomedical",
title = "ViVo: Visual Vocabulary Construction",
url = "citeseer.ist.psu.edu/751775.html" }
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