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Table 2 Segmentation sensitivity From DDS, FCMDS, HHDS, and TSMODS for the dataset shown in Figure 4

From: Color image segmentation using multi-level thresholding approach and data fusion techniques: application in the breast cancer cells images

  Sen(%)
  DDS FCMDS HHDS TSMODS
(proposed method)
Image 1 0.9525 0.9741 0.9730 0.9959
Image 2 0.9260 0.9453 0.9782 0.9944
Image 3 0.9491 0.9465 0.9476 0.9879
Image 4 0.9595 0.9604 0.9658 0.9927
Image 5 0.9293 0.9697 0.9706 0.9926
Image 6 0.9565 0.9567 0.9637 0.9898
Image 7 0.9542 0.9550 0.9606 0.9831
Image 8 0.9685 0.9687 0.9798 0.9982
Image 9 0.9492 0.9747 0.9699 0.9912
Image 10 0.9105 0.9350 0.9387 0.9991
Image 11 0.9927 0.9925 0.9972 0.9982
Image 12 0.9765 0.9861 0.9769 0.9897