Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessment.
作者： Alex M. Aisen , Lynn S. Broderick , Helen Winer-Muram , Carla E. Brodley , Avinash C. Kak
DOI: 10.1148/RADIOL.2281020126
关键词: Thin section ct 、 Artificial intelligence 、 Pattern recognition (psychology) 、 Nuclear medicine 、 Computer vision 、 Software system 、 Computer assistance 、 Tomography 、 Medical diagnosis 、 Computed tomographic 、 Medicine 、 Software
摘要: A software system and database for computer-aided diagnosis with thin-section computed tomographic (CT) images of the chest was designed implemented. When presented an unknown query image, uses pattern recognition to retrieve visually similar known diagnoses from database. preliminary validation trial conducted 11 volunteers who were asked select best a series test images, without assistance. The percentage correct answers increased 29% 62% computer This finding suggests that this may be useful computer-assisted diagnosis.
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