FNR	False Negative Rate
FPR	False Positive Rate
RV	Relative Variance
D	Dataset containing wound images
N	Total number of wound images in dataset
xi, yi, zi	Input wound image, Ground truth size category, Ground truth tissue type for wound i
R	Number of relevant instances in dataset
O	Number of observed instances in dataset
T	Total number of instances in dataset
J	Overall loss function to be minimized during training
Ps(yi | FR(xi))	Predicted probability distribution over size categories for wound i
Ls(yi,Ps(yi | FR(xi)))	Cross-entropy loss function for size classification
yi,j	j-th element of the ground truth size category vector yi
Ns	Number of size categories
Pt(zi | FR(xi))	Predicted probability distribution over tissue types for wound i
Lt(zi,Pt(zi | FR(xi)))	Cross-entropy loss function for tissue classification
zi,k	k-th element of the ground truth tissue type vector zi
Nt	Number of tissue types