小児がんに対する、人工知能アルゴリズムYOLO併用超音波検査法の樹立

• Project/Area Number: 25K10988
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: Nagoya City University
• Principal Investigator: 中川 基生 名古屋市立大学, 医薬学総合研究院(医学), 講師 (60590982)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000); Fiscal Year 2027: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2026: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000); Fiscal Year 2025: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)