Paired-Acquisition Neural Factorization Allocation Study

This repository contains the pair-repeat allocation study for Paired-Acquisition Neural Factorization.

The method uses paired acquisitions of the same underlying tissue to factor frozen pathology embeddings into a scanner-suppressed tissue factor and an acquisition-specific factor.

The allocation question is whether, under a matched pair-presentation budget, using more unique biological pairs improves factor separation more than repeatedly presenting fewer pairs.

Evidence tables:

• data/matched_budget_allocation_means.csv
• data/matched_budget_global_allocation_contrasts.csv
• data/matched_budget_doubling_effects.csv

Main research hub:

https://github.com/matthewvaishnav/computational-pathology-research