Table 13 Four-wound-class classification (D vs. P vs. S vs. A + V) on AZHMT dataset.

From: Multi-modal wound classification using wound image and location by deep neural network

Input

Model

Accuracy (%)

Location

MLP

78.10

LSTM

78.83

Image

VGG16

68.61

VGG19

63.14

Image + location

VGG16 + MLP

79.56

VGG19 + MLP

84.31

VGG16 + LSTM

68.25

VGG19 + LSTM

68.98

  1. The bold represents the highest results/accuracy achieved for each experiment.