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ORIGINAL ARTICLE

Image segmentation and classification of white blood cells with the extreme learning machine and the fast relevance vector machine

Pages 985-989 | Received 25 Nov 2014, Accepted 06 Jan 2015, Published online: 24 Feb 2015

Figures & data

Figure 1. Accuracy of proposed classification techniques for WBC.

Figure 1. Accuracy of proposed classification techniques for WBC.

Figure 2. Execution time for the proposed classification techniques for WBC.

Figure 2. Execution time for the proposed classification techniques for WBC.

Figure 3. Precision and recall for the proposed classification method for WBC.

Figure 3. Precision and recall for the proposed classification method for WBC.

Figure 4. F-Measure for the proposed classification method for WBC.

Figure 4. F-Measure for the proposed classification method for WBC.

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