Research Article

An Ensemble of Deep Learning Enabled Brain Stroke Classification Model in Magnetic Resonance Images

Table 2

Result analysis of CAD-BSDC technique with different classes and epoch counts.

ClassesSensitivitySpecificityAccuracyPrecisionF-scoreMCC

Epoch-500
 Class 092.0098.0497.1988.4690.2088.58
 Class 196.0098.6998.3192.3194.1293.16
 Class 2100.0098.0598.3188.8994.1293.36
 Class 396.3099.1998.3198.1197.2096.00
 Class 492.31100.0098.88100.0096.0095.45
 Class 591.67100.0098.88100.0095.6595.13
 Average94.7199.0098.3194.6394.5593.61
Epoch-1000
 Class 092.00100.0098.88100.0095.8395.30
 Class 188.0098.6997.1991.6789.8088.19
 Class 2100.0098.0598.3188.8994.1293.36
 Class 3100.0097.5898.3194.7497.3096.15
 Class 488.4698.6897.1992.0090.2088.58
 Class 591.67100.0098.88100.0095.6595.13
 Average93.3598.8398.1394.5593.8292.78
Epoch-1500
 Class 0100.0098.0498.3189.2994.3493.56
 Class 184.00100.0097.75100.0091.3090.48
 Class 291.6799.3598.3195.6593.6292.67
 Class 396.3099.1998.3198.1197.2096.00
 Class 4100.00100.00100.00100.00100.00100.00
 Class 595.8397.4097.1985.1990.2088.77
 Average94.6399.0098.3194.7194.4493.58
Epoch-2000
 Class 0100.0099.3599.4496.1598.0497.74
 Class 180.00100.0097.19100.0088.8988.02
 Class 295.83100.0099.44100.0097.8797.58
 Class 3100.0097.5898.3194.7497.3096.15
 Class 4100.0098.0398.3189.6694.5593.75
 Class 595.83100.0099.44100.0097.8797.58
 Average95.2899.1698.6996.7695.7595.13