デジタル病理画像深層学習によるびまん性大細胞型B細胞リンパ腫の予後予測モデル構築

• Project/Area Number: 21K15410
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 49020:Human pathology-related
• Research Institution: Japanese Foundation for Cancer Research
• Principal Investigator: 津山 直子 公益財団法人がん研究会, その他部局等, 研究員 (60626133)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Project Status: Adopted (Fiscal Year 2021)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2023: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2022: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2021: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)