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Table 2 The correct classification ratio of each class in an M-FISH image

From: An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification

Class number New sparse model General sparse model Class number New sparse model General sparse model
1 0.951282 0.894359 13 0.903226 0.895439
2 0.988194 0.961629 14 0.832192 0.785388
3 0.930451 0.929825 15 0.969388 0.926304
4 0.972441 0.919948 16 1 0.993921
5 0.983595 0.905136 17 1 0.998273
6 0.975627 0.965181 18 0.929553 0.917526
7 0.967769 0.953719 19 1 0.977175
8 0.959322 0.881356 20 0.930556 0.882937
9 0.997059 0.978431 21 0.832817 0.758514
10 1 0.991313 22 0.997361 0.960422
11 0.958773 0.967402 23 0.981279 0.976599
12 0.997038 0.99309 24 1 0.990506