| Budget Amount *help |
¥15,340,000 (Direct Cost: ¥11,800,000、Indirect Cost: ¥3,540,000)
Fiscal Year 2014: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2013: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2012: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2011: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
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| Outline of Final Research Achievements |
In this research project, we developed some methods to extract context of the medical data and image recognition methods using such context. The robust methods to find some events that happen rarely, such as cancerous region in the medical image and bleeding while surgical operation, are much desired. We utilized the past events (lesion, image sequence of medical treatment) as the context to find particular medical events. Concretely, proposed scheme is applied to extract liver region, simultaneous extraction of rare event and frequently-occurred event from long-sustained laparoscope surgical operation, and generating rare-occurred disease image for machine learning.
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