【深度学习入门到精通系列】Generalized Dice loss解释 论文原文全程为:Generalized Overlap Measures for Evaluation and Validation in Medical Image Analysis 刚才分析过Dice Loss对小目标的预测是十分不利的,因为一旦小目标有部分像素预测错误,就可能会引起Dice系数大幅度波动,导致梯度变化大训练不稳定。另外从上面的代码...
Hey guys, I just implemented the generalised dice loss (multi-class version of dice loss), as described in ref : (my targets are defined as: (batch_size, image_dim1, image_dim2, image_dim3, nb_of_classes)) def generalized_dice_loss_w(y_true, y_pred): # Compute weights: "the ...
这个损失函数的定义如下: classGeneralizedDiceLoss(nn.Module):def__init__(self,num_classes):super(GeneralizedDiceLoss,self).__init__()self.num_classes=num_classesdefforward(self,input,target):smooth=1e-5# 计算每个类别的交叉熵损失loss=F.cross_entropy(input,target)# 计算每个类别的权重weights=1.0...
A Dice pixel classification layer provides a categorical label for each image pixel or voxel using generalized Dice loss. The layer uses generalized Dice loss to alleviate the problem of class imbalance in semantic segmentation problems. Generalized Dice loss controls the contribution that each clas...
In this work, we train a 3D Residual UNet using Generalized Dice Focal Loss function on the AutoPET challenge 2023 training dataset. We develop our models in a 5-fold cross-validation setting and ensemble the five models via average and weighted-average ensembling. On the preliminary test ...
While we find transformer in the bottleneck performs slightly worse than the baseline U-Net in average, the generalized Wasserstein Dice loss consistently produces superior results. Further, we adopt an efficient test time augmentation strategy for faster and robust inference. Our final ensemble of ...
另外从上面的代码实现可以发现,Dice Loss针对的是某一个特定类别的分割的损失。当类似于病灶分割有多个场景的时候一般都会使用多个Dice Loss,所以Generalized Dice loss就是将多个类别的Dice Loss进行整合,使用一个指标作为分割结果的量化指标。GDL Loss在类别数为2时公式如下:...
ischemic stroke segmentation; MRI segmentation; attention U-Net; Generalized Dice Focal loss1. Introduction Currently, the mortality and disability rate of stroke has increased worldwide, becoming one of the leading causes of death or disability. Millions of people die annually due to this condition...
This paper proposes a lightweight model based on the U-Net architecture that handles an attention module and the Generalized Dice Focal loss function to enhance the segmentation accuracy in the class imbalance environment, characteristic of stroke lesions in MRI images. This study also analyzes the ...