Log Data Visualization and Analysis for Supporting Medical Image Diagnosis
Log Data Visualization and Analysis for Supporting Medical Image Diagnosis
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DOI：
10.1007/978-3-319-61566-0_74
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发表时间：
2017-07
期刊：
影响因子：
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通讯作者：
Tsuneo Kagawa;S. Tanoue;Hiroaki Nishino
中科院分区：
文献类型：
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作者：
Tsuneo Kagawa;S. Tanoue;Hiroaki Nishino
计算机辅助诊断（CAD）已成为医疗活动的重要手段之一。然而，放射科医生不得不花费时间和精力来调查这些医学图像。强烈要求在不降低影像学诊断质量的情况下减轻他们的负担。因此，如何从资深放射科医生的实验信息中学习，是我们思考的问题，因为准确诊断不仅需要逻辑知识，还需要实验。本文通过采集手术日志数据，分析有经验与无经验的差异，探讨利用这些实验信息进行医学影像支持的方法。
Computer Aided Diagnosis (CAD) has become one of the most important for medical activities. However, radiologists have to cost their time and efforts to investigate these medical images. It is strongly required to reduce their burden without debasing the quality of imaging diagnosis. So we have considered about how to learn from experimental information of veteran radiologists because not only logical knowledge but also experiments are required for accuracy diagnosis. In this paper, we acquire operation log data and analyze difference between experienced and inexperienced discuss about supporting method for medical imaging with these experimental information.