| Budget Amount *help |
¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2019: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2018: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Outline of Final Research Achievements |
In this research, next generation medical image diagnosis systems have been developed by using a deep learning based artificial intelligence (AI) that is capable of super-performance beyond human experts. The AI-aided (AID) systems have been applied for breast cancer screening using mammography exmas, gastric cancer screening using fluoroscopic stomac exams, and drowning diagnosis using forensic imaging (autopsy imaging) of x-ray computed tomography. Experimental results showed that the AID systems were able to achieve the human experts' level performance for the tasks. Specifically, the AID system for mammographic diagnosis demonstrated superior performance beyond human experts and further more, the system made human experts' performance even better. These results clearly demonstrated the usefulness and effectiveness of the proposed AID systems in clinical use.
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