Multiple instance learning
PulseAugur coverage of Multiple instance learning — every cluster mentioning Multiple instance learning across labs, papers, and developer communities, ranked by signal.
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MambaBack architecture enhances whole slide image analysis with hybrid AI approach
Researchers have introduced MambaBack, a novel hybrid architecture designed to improve whole slide image (WSI) analysis in computational pathology. This new model combines the strengths of Mamba and MambaOut to better c…
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Geometry-aware model advances whole-slide image analysis in computational pathology
Researchers have developed BatMIL, a novel framework for analyzing whole-slide histopathological images. This approach utilizes a hybrid hyperbolic-Euclidean representation to better capture hierarchical tissue structur…
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Simple MIL matches complex models for 3D neuroimage classification
Researchers have published a benchmark comparing multiple instance learning (MIL) methods against 3D CNNs and ViTs for classifying 3D neuroimages. The study found that a simple mean pooling MIL approach, without attenti…