dice: Dice coefficient

In stschn/deepANN: Neural Network Toolbox

Dice coefficient

Description

Dice coefficient

Usage

dice(actuals, preds, smooth = 1)

Arguments

actuals	A multidimensional array of actual values.
preds	A multidimensional array of prediction values.
smooth	A smoothing factor to avoid division by zero.

Details

This metric is used for evaluation of the results within image segmentation. actuals as well as preds are binary encoded image data masks in form of a n-dimensional array, mainly a two-dimensional array with the dimensions height and width for every channel. A value of 1 indicates the background (e.g. white color), a value equal 0 indicates the object (e.g. black color).

Value

Dice coefficient.

See Also

Other Metrics: accuracy(), cross_entropy(), entropy(), erf(), erfc(), erfcinv(), erfinv(), gini_impurity(), huber_loss(), iou(), log_cosh_loss(), mae(), mape(), mse(), msle(), quantile_loss(), rmse(), rmsle(), rmspe(), sse(), stderror(), vc(), wape(), wmape()

stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.