Development of an explainable dendritic neural network with transparent architecture for medical image analysis

Research Project

Project/Area Number	25K21340
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	Kyushu University
Principal Investigator	唐成九州大学, システム情報科学研究院, 助教 (60974061)
Project Period (FY)	2025-04-01 – 2028-03-31
Project Status	Granted (Fiscal Year 2025)
Budget Amount *help	¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000) Fiscal Year 2027: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000) Fiscal Year 2026: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000) Fiscal Year 2025: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywords	medical image analysis / explainable AI / dendritic computation / computer vision / neural architecture
Outline of Research at the Start	This research proposes novel medical analysis technologies that leverages explosive medical data to develop explainable neural architectures that provide transparent and understandable decisions. The explainability evaluation by clinicians builds trust in the clinical setting to ensure the utility.