[Retracted] Artificial Intelligence-Guided Subspace Clustering Algorithm for Glioma Images

Table 1

Average clustering results of 7 patients.

Feature type	Dice coefficient (%)	Sensitivity (%)	False negative rate (%)
Gray + Haar wavelet	83.11 ± 1. 64	86. 37 ± 2. 10	18. 55 ± 10. 32
Gray + Haar wavelet + 3D-CNNs	88. 52 ± 2. 21	92. 58 ± 3. 74	18.3 9 ± 6. 21