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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