Dear researchers,

My task consists of performing binary segmentation. I have managed to build up a VNet like network for seismic data segmentation. During the training process, the analysis of the behavior of the loss values could show that the model converged. I have tested the trained model on a separate dataset and I obtained a dice value, a recall value and precision value all equal to 1; which I found very weird. It is noteworthy that I have used the metric functions from Medpy package to compute the evaluation measures. After displaying the prediction results, the whole image is black. Please what might be the problem or what could be wrong with my model. Any suggestions and comments would be highly appreciated.
Thank you for your time