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Table 1 Classification Accuracy

From: MetaSel: a metaphase selection tool using a Gaussian-based classification technique

Class

1

2

3

4

1

5,103 (99.42%)

0

3 (0.30%)

36(0.48%)

2

0

1,157 (90.67%)

92(9.26%)

34(2.54%)

3

0

99(7.76%)

889(89.44%)

37(2.50%)

4

30(0.58%)

20(1.57%)

10(1.01%)

307(93.25%)

Total

5133

1276

994

414

  1. Two hundred metaphase spreads were used to determine the accuracy of the proposed rules. From these 192 metaphase images, 7817-segmented objects were obtained and classified into four classes. The proposed rules can efficiently and accurately classify the individual chromosome with > 90% accuracy.