Table 3.
The performance of semantic segmentation models using original and despeckled thyroid US Images by DsF_FBiF and DsF_EPSF Filters
| Experiment (Image Type) |
P.E.P | mIoU (%) | mIoU (B) (%) | mIoU (M) (%) | mDC (%) | DC (B) (%) | DC (M) (%) | TPR (%) | FNR (%) | TNR (%) | FPR (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Seg. Algo | |||||||||||
| Experiment 1 (OTTUS) |
Seg Net |
78.4 ± 16.1 | 80.3 ± 15.0 | 77.4 ± 14.1 | 87.2 ± 06.4 | 87.3 ± 07.4 | 86.4 ± 06.1 | 85.2 ± 05.8 | 14.8 ± 03.8 | 87.6 ± 4.9 | 10.4 ± 3.4 |
| UNet | 80.9 ± 11.2 | 81.4 ± 09.2 | 80.6 ± 11.1 | 89.1 ± 05.4 | 88.1 ± 04.2 | 87.4 ± 05.3 | 86.9 ± 06.9 | 13.1 ± 03.7 | 89.9 ± 3.1 | 10.1 ± 2.9 | |
| Hybrid-UNet | 83.1 ± 07.8 | 83.4 ± 08.7 | 82.2 ± 06.9 | 90.1 ± 02.9 | 91.4 ± 03.2 | 89.4 ± 0.02 | 88.2 ± 04.9 | 11.8 ± 02.8 | 90.8 ± 3.2 | 09.2 ± 2.3 | |
|
Experiment 2 (DTTUS by DsF_FBiF Filter) |
SegNet | 79.4 ± 13.2 | 80.3 ± 11.1 | 79.1 ± 12.4 | 88.7 ± 05.8 | 89.4 ± 06.2 | 88.1 ± 04.8 | 87.6 ± 04.9 | 12.4 ± 03.1 | 88.2 ± 4.1 | 08.8 ± 2.9 |
| UNet | 82.1 ± 09.7 | 84.0 ± 07.1 | 82.8 ± 09.2 | 89.3 ± 05.1 | 89.9 ± 05.7 | 88.8 ± 04.3 | 87.9 ± 05.9 | 12.1 ± 03.8 | 89.1 ± 3.1 | 10.9 ± 2.5 | |
| Hybrid-UNet | 85.2 ± 06.2 | 86.2 ± 05.8 | 84.4 ± 05.7 | 90.6 ± 02.8 | 90.7 ± 0.02 | 89.4 ± 0.03 | 89.7 ± 04.1 | 10.3 ± 02.7 | 90.8 ± 3.2 | 09.2 ± 2.1 | |
|
Experiment 3 (DTTUS by DsF_EPSF Filter) |
SegNet | 80.4 ± 12.8 | 81.4 ± 11.7 | 79.3 ± 15.4 | 90.0 ± 05.1 | 90.4 ± 04.9 | 89.9 ± 05.2 | 89.1 ± 04.9 | 10.9 ± 03.0 | 90.4 ± 4.1 | 09.6 ± 3.1 |
| UNet | 83.2 ± 09.7 | 85.1 ± 08.5 | 83.6 ± 11.1 | 92.9 ± 03.9 | 93.1 ± 03.8 | 91.9 ± 04.1 | 92.3 ± 04.9 | 07.7 ± 02.8 | 93.2 ± 3.3 | 06.8 ± 2.9 | |
| Hybrid-UNet | 86.6 ± 09.8 | 88.8 ± 8.7 | 85.6 ± 09.5 | 93.2 ± 03.1 | 93.9 ± 02.8 | 92.8 ± 03.2 | 90.5 ± 03.1 | 09.5 ± 02.6 | 94.9 ± 2.7 | 05.1 ± 2.0 |
Note - P.E.P. - performance evaluation parameters, OTTUS - Original Thyroid Tumor US Images, DTTUS - Despeckled Thyroid Tumor US Images, B - benign, M - malignant