Abstract: International audience ; This paper presents a methodology for constructing a simulated fluorescence diffuse optical tomography database. It details dataset generation, including sample geometry, optical properties, forward solvers, and data processing. The database ensures reproducibility and supports AI applications in biomedical imaging.
No Comments.