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An efficient and robust medical-image indexing procedure should be user-oriented. It is essential to index the images at the right level of description and ensure that the indexed levels match the user's interest level. This study examines 240 medical-image descriptions produced by three different groups of medical-image users (novices, intermediates, and(More)
UNLABELLED PREMISE OF THE STUDY Digital microscopic pollen images are being generated with increasing speed and volume, producing opportunities to develop new computational methods that increase the consistency and efficiency of pollen analysis and provide the palynological community a computational framework for information sharing and knowledge(More)
This preliminary study, as a part of a broader study about the medical image use by experts and novices, examines the differences in image describing behavior between these two categories of users. Eye tracking technique was used to capture the image users' eye movement on the Area of Interests (AOIs). This study found that a domain expert was capable of(More)
Research has shown that visual information of multimedia is critical in highly-skilled application, such as biomedicine and life sciences, and a certain visual reasoning process is essential for meaningful search in a timely manner. Relevant image characteristics are learned and verified with accumulated experiences during the reasoning processes. However,(More)
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