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Table 2 Dice’s coefficient (DC) values of different burn depth in different models

From: Burn image segmentation based on Mask Regions with Convolutional Neural Network deep learning framework: more accurate and more convenient

Burn depths Model name
R101FA (our method) IV2RA R101A
Superficial 89.7* 83.61 77.37
Superficial thickness 85.21* 82.52 84.91
Deep partial thickness 84.54* 84.44 81.96
Full-thickness burn 81.12 74.56 83.5*
  1. *The highest average DC value of this burn depth in different models
  2. R101FA residual network-101 with atrous convolution in feature pyramid network, IV2RA inceptionV2-residual network with atrous convolution, R101A residual network-101 with atrous convolution
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Burns & Trauma

ISSN: 2321-3876

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