Fig. 4

Proposed acquisition method where the CAF map \({\textbf {Z}}_i\) is split into smaller sub-images \({\textbf {Z}}_i^{(m,n)}\), which are fed to a bank of parallel DNN binary classifiers to produce probability ratio maps. To increase accuracy, several (\(K>1\)) probability ratio maps can be non-coherently fused, as shown on the rightmost plot