正確な肺癌病期診断を可能にするdeep learningモデルの開発

• Project/Area Number: 21K15799
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: The University of Tokyo
• Principal Investigator: 菅原 暖斗 東京大学, 医科学研究所, 助教 (60883527)
• Project Period (FY): 2021-04-01 – 2025-03-31
• Project Status: Adopted (Fiscal Year 2021)
• Budget Amount: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000); Fiscal Year 2024: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2023: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2021: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)