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Multiple Instance Learning with random sampling for Whole Slide Image Classification
In computational pathology, random sampling of patches during training of Multiple Instance Learning (MIL) methods is computationally efficient and serves as a regularization strategy.
Automatic segmentation of the intracranialvolume in fetal MR images
This paper presents an automatic method for segmentation of the ICV in fetal MR images.
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