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Found 4 papers, 1 papers with code
Learning from Partial Label Proportions for Whole Slide Image Segmentation
In this paper, we address the segmentation of tumor subtypes in whole slide images (WSI) by utilizing incomplete label proportions.
Proportion Estimation by Masked Learning from Label Proportion
The PD-L1 rate, the number of PD-L1 positive tumor cells over the total number of all tumor cells, is an important metric for immunotherapy.
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets
The Strong Lottery Ticket Hypothesis (SLTH) demonstrates the existence of high-performing subnetworks within a randomly initialized model, discoverable through pruning a convolutional neural network (CNN) without any weight training.
Listen to What You Want: Neural Network-based Universal Sound Selector
In this paper, we propose instead a universal sound selection neural network that enables to directly select AE sounds from a mixture given user-specified target AE classes.
