Research Article
Medical Imaging Lesion Detection Based on Unified Gravitational Fuzzy Clustering
Table 1
Performance criteria of the proposed method applied on synthetic images from Utah database: Dice, Jaccard, sensitivity, and specificity score.
| ID | Dice | Jaccard | Sensitivity | Specificity |
| Syn001 | 0.467 | 0.341 | 0.654 | 0.993 | Syn002 | 0.324 | 0.284 | 0.525 | 0.991 | Syn003 | 0.545 | 0.439 | 0.713 | 0.997 | Syn004 | 0.442 | 0.322 | 0.611 | 0.991 | Syn005 | 0.449 | 0.328 | 0.613 | 0.994 | Syn006 | 0.621 | 0.564 | 0.784 | 0.998 | Syn007 | 0.578 | 0.458 | 0.733 | 1 | Syn008 | 0.233 | 0.169 | 0.499 | 0.989 | Syn009 | 0.669 | 0.587 | 0.795 | 0.999 | Syn010 | 0.611 | 0.536 | 0.743 | 0.997 | Syn011 | 0.378 | 0.381 | 0.416 | 0.987 | Syn012 | 0.558 | 0.431 | 0.701 | 0.992 | Syn013 | 0.471 | 0.351 | 0.662 | 0.995 | Syn014 | 0.342 | 0.299 | 0.546 | 0.994 | Syn015 | 0.482 | 0.359 | 0.666 | 1 | Mean | 0.478 | 0.390 | 0.644 | 0.994 | Standard deviation | 0.122 | 0.114 | 0.109 | 0.004 |
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