Serial # | Methods |
---|---|
1 | AD/NC(SPECT)/PD classification with random weak Gaussian blurred augmentation in the spatial domain using fivefold CV approach |
2 | AD/NC(SPECT)/PD classification with random weak Gaussian blurred augmentation in the spatial domain using tenfold CV approach |
3 | AD/NC(SPECT)/PD classification with combined augmentations in the spatial domain using tenfold CV approach |
4 | AD/NC(SPECT)/PD classification with random zoomed in/out augmentation in the frequency domain using fivefold CV approach |
5 | AD/NC(SPECT)/PD classification with combined augmentations in the frequency domain using tenfold CV approach |
6 | AD/NC(SPECT)/PD classification with random zoomed in/out augmentation in the spatial domain using fivefold CV approach |
7 | AD/NC(SPECT)/PD classification with random weak Gaussian blurred augmentation in the frequency domain using fivefold CV approach |
8 | AD/NC(SPECT)/PD classification with combined augmentations in the spatial domain using fivefold CV approach |
9 | AD/NC(SPECT)/PD classification with random zoomed in/out augmentation in the spatial domain using tenfold CV approach |
10 | AD/NC(SPECT)/PD classification with combined augmentations in the frequency domain using fivefold CV approach |
11 | AD/NC(SPECT)/PD classification without augmentation in the frequency domain using fivefold CV approach |
12 | AD/NC(SPECT)/PD classification without augmentation in the frequency domain using tenfold CV approach |
13 | AD/NC(SPECT)/PD classification without augmentation in the spatial domain using fivefold CV approach |
14 | AD/NC(SPECT)/PD classification with random weak Gaussian blurred augmentation in the frequency domain using tenfold CV approach |
15 | AD/NC(SPECT)/PD classification with random zoomed in/out augmentation in the frequency domain using tenfold CV approach |
16 | AD/NC(SPECT)/PD classification without augmentation in the spatial domain using tenfold CV approach |
17 | AD/NC(PET)/PD classification without augmentation in the spatial domain using fivefold CV approach |
18 | AD/NC(PET)/PD classification without augmentation in the spatial domain using tenfold CV approach |
19 | AD/NC(PET)/PD classification without augmentation in the frequency domain using fivefold CV approach |
20 | AD/NC(PET)/PD classification without augmentation in the frequency domain using tenfold CV approach |