Table 2. Summary of hyperparameters... | Emerald Publishing

Table 2.

Summary of hyperparameters configuration in LG-NuSegHop, finetuned on a small subset of training images from MoNuSeg

Hyperparameter	Value
Local processing
$λ$ (adapt. Thresh.)	0.2
S (lair)	0.7
$γ$ (lair)	0.1
NuSegHop
Energy $T_{e}$	$10 e - 4$
# Spectral dimensions	10
XGB – # trees	100
XGB – tree depth	4
XGB – learning rate	0.075
Global processing
Blob threshold (LoG)	0.05
$T_{p}$	0.35

Hyperparameter	Value
Local processing
$λ$ (adapt. Thresh.)	0.2
S (lair)	0.7
$γ$ (lair)	0.1
NuSegHop
Energy $T_{e}$	$10 e - 4$
# Spectral dimensions	10
XGB – # trees	100
XGB – tree depth	4
XGB – learning rate	0.075
Global processing
Blob threshold (LoG)	0.05
$T_{p}$	0.35