Python dice_coe Examples

Example #1

    def define_eval_metrics(self):
        """
        Evaluate the model on the current batch
        """
        # Dice
        with tf.variable_scope('Dice'):
            self.dice = dice_coe(output=self.sup_pred_mask_oh,
                                 target=self.sup_output_data)

        with tf.variable_scope('Dice_3channels'):
            self.dice_3chs = dice_coe(output=self.sup_pred_mask_oh[..., 1:],
                                      target=self.sup_output_data[..., 1:])

Example #2

File: model.py Project: menonpg/multiscale-adversarial-attention-gates

 def define_eval_metrics(self):
     """
     Evaluate the model on the current batch
     """
     with tf.variable_scope('Dice_sup'):
         self.dice_sup = dice_coe(output=self.sup_pred_mask_oh[..., 1:],
                                  target=self.acdc_sup_output_mask[..., 1:])

Example #3

def dice_loss(output, target, axis=(1, 2, 3), smooth=1e-12):
    """ Returns Soft Sørensen–Dice loss """
    return 1.0 - dice_coe(output, target, axis=axis, smooth=smooth)