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

Table 6

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

Methods	Specificity	Accuracy
AICH-FDLSI	98.33	97.77
DN-ELM	97.70	96.34
UNet model	88.60	87.00
WANN	70.13	69.78
Res-NexT	90.42	89.30
WEM-DCNN	97.48	88.35
Convolutional NN	88.18	87.56
SVM	79.41	77.32