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. 2018 Feb 27;31(5):738–747. doi: 10.1007/s10278-018-0062-2

Table 2.

The comparison of the measured accuracy of the proposed DCNN with some related works for MRI segmentation

Reference Dataset (http://www.braintumorsegmentation.org/) Dice Similarity Coefficient metric Methods
Complete Core Enhancing regions
[22] BRATS 2015 0.80 0.69 0.61 Back propagation algorithm
[24, 25] BRATS 2013 0.88 0.79 0.73 Parallel path + two-stage learning and architecture
[26] BRATS 2013 0.88 0.83 0.77 3 × 3 kernels and ReLU functions with leakage
BRATS 2015 0.78 0.65 0.75
[27] BRATS 2014 0.84 0.75 0.76 Local structural estimation +K means clustering
# BRATS 2016 0.90 0.85 0.84 The proposed DCNN