Fusion-Based Deep Learning with Nature-Inspired Algorithm for Intracerebral Haemorrhage Diagnosis

Table 5

Comparative results analysis of AICH-FDLSI with recent methods-I.

Methods	Sensitivity	Precision
AICH-FDLSI	88.61	91.06
UNet model	63.10	88.19
WANN	60.18	70.08
WEM-DCNN	83.33	89.90
Convolutional NN	87.06	87.98
SVM	76.38	77.53