dice_loss: Dice Loss

In neuroimaginador/dl4ni: Deep Learning Flows for Neuroimaging

Description

This function computes the Dice loss between a true and a predicted classifications.

Usage

dice_loss(y_true, y_pred, smooth = 1)

Arguments

y_true	(vector) True classes
y_pred	(vector) Predicted classes
smooth	(real) Smoothness factor in the computation, Default: 1

Value

The Dice loss as 1 - Dice Coefficient.

neuroimaginador/dl4ni documentation built on May 3, 2019, 5:47 p.m.