Abstract
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.
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Acknowledgment
This work was supported by JSPS KAKENHI Grant Number 24500148 and 24603018.
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Kagawa, T., Tanoue, S., Nishino, H. (2018). Log Data Visualization and Analysis for Supporting Medical Image Diagnosis. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_74
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DOI: https://doi.org/10.1007/978-3-319-61566-0_74
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