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Hi @Dootmaan
Thank you for your interest. The output of Saliency Attention Network is a probability map with a range [0,1] which is the same size as the input image. The target result of this stage is to get all the points in WT class. And then we sample point cloud based on set threshold probability
Hi @Dootmaan Thank you for your interest. The output of Saliency Attention Network is a probability map with a range [0,1] which is the same size as the input image. The target result of this stage is to get all the points in WT class. And then we sample point cloud based on set threshold probability
thank you for your reply! since saliency attention network performs WT segmentation, can u provide the Dice Similarity Coefficient of it on WT? that would be a huge help!
hi there thank you for your work.
im curious how is the DSC of Saliency Attention Network? Seems like it performs WT segmentation.
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