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10,000 IRMA images of 57 categories for ImageCLEFmed 2005

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DataCite Commons2020-09-18 更新2025-04-16 收录
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http://publications.rwth-aachen.de/record/667240
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资源简介:
<strong>Remark</strong><br>On this page, you can access data that has been used in several scientific studies. In order to make the results comparable, these datasets are available for other non-commercial evaluations. <strong>Description</strong><br>This collection compiles anonymous radiographs, which have been arbitrarly selected from routine at the Department of Diagnostic Radiology, Aachen University of Technology (RWTH), Aachen, Germany. The imagery represents different ages, genders, view positions and pathologies. Therefore, image quality varies significantly. All images were downscaled to fit into a 512 x 512 bounding box maintaining the original aspect ratio. All images were classified according to the IRMA code. Based on this code, 57 categories were defined. For 9,000 images, these categories are transparent by the name of the folder. The remaining 1,000 images without code are used as test data for the ImageCLEFmed 2005 competition.Training data: 9,000 radiographs in 57 categories.Test data: 1,000 radiographs without classification.Category names: medical terms characterizing the 57 categories in German and English languages.
提供机构:
RWTH Aachen University
创建时间:
2017-01-12
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