医療データを生成データと組み合わせて機械学習を最適化するデータ拡張手法の探索

• Project/Area Number: 25K21344
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 62010:Life, health and medical informatics-related
• Research Institution: Keio University
• Principal Investigator: 石川 哲朗 慶應義塾大学, 医学部(信濃町), 准教授 (90824160)
• Project Period (FY): 2025-04-01 – 2027-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2026: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2025: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)