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Found 2 papers, 2 papers with code
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
We propose a novel heterogeneous graph-based framework to leverage the inter-relationships among different types of nuclei for WSI analysis.
SL3D: Self-supervised-Self-labeled 3D Recognition
SL3D is a generic framework and can be applied to solve different 3D recognition tasks, including classification, object detection, and semantic segmentation.
Ranked #2 on
Unsupervised 3D Semantic Segmentation
on ScanNetV2
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