Research Article
QAIS-DSNN: Tumor Area Segmentation of MRI Image with Optimized Quantum Matched-Filter Technique and Deep Spiking Neural Network
Table 3
Comparison of the proposed approach with previous methods in terms of accuracy in terms of percentage.
| | Accuracy (%) | Method | Reference |
| | 98.20% | GCNN | Mittal et al. [25] | | 95% | 3D cascaded CNN-TTA | Wang et al. [27] | | 88.50% | MCCNN | Hu et al. [28] | | 96.12% | BAT-IT2FCM | Alagarsamy et al. [31] | | 92% | ADNN-PSO | Irfan Sharif et al. [32] | | 98% | PSO-LDA-GA-ANN | Sharif et al. [33] | | 98.21% | QAIS-DSNN | Proposed approach |
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