| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Outline of Final Research Achievements |
We have investigated to build a reliable melanoma discrimination system capable of providing grounds for the decision. Our model successfully estimates all items defined in commonly used clinical findings for melanoma, i.e. a total 15 items defined in ABCD rule and 7-point checklist. We also developed efficient pre-processing techniques for melanoma discrimination for deep learning approach. Our method reduced time-consuming training time to less than 1/9, but it attained superior performance in discriminating melanomas to expert dermatologists.
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