True positive example (True - Reality, Positive - Wolf): A sentence to describe it - we make the positive prediction and this is True in Real

Args: use_softmax: Set it to False when use the function for testing purpose

Args: use_square: If True, then the denominator will the sum of square.

Args: beta: use_softmax: Set to False is used for testing purpose, when training model, use default True instead

sensitivity = TP / (TP + FN) specificity = TN / (TN + FP) Args: weight: use for the combination of sensitivity an

References: JeremyJordan's Implementation https://gist.github.com/jeremyjordan/9ea3032a32909f71dd2ab35fe3bacc08#file-soft_dic

This is the variance of SoftDiceLoss, it in introduced in: https://arxiv.org/pdf/1812.02427.pdf Args: output: Ten