| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2011: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Research Abstract |
The aim of this research (one procedure solves different organ segmentation problems on medical images) was almost realized. Our research policy for procedure design by using (machine learning and data driven based approach instead of transferring the human experience to computer program directly) was proved to be efficient to solve organ segmentation problems on medical images. We reached a conclusion that (image processing procedures such as organ segmentation can be greatly simplified under the supporting of a large database and well preparations). The algorithm that proposed to (accomplish the automatic organ segmentation within several tens of seconds) was implemented. We evaluated the performance of the algorithm and confirmed that the major organ such as kidney, spleen, and so on can be segmented automatically within one minute from the torso CT images.
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