mcmlnet implements training and inference of neural surrogate models to accelerate multilayer Monte Carlo tissue-optics simulations, enabling rapid prototyping, real-time inference, and large-scale experiments in medical imaging.
Availability: Code and synthetic simulation datasets will be released upon manuscript acceptance. Human HSI data cannot be shared publicly due to legal/ethical restrictions; qualified researchers may request access subject to institutional approval.