A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification
we propose a graph-based multi-scale MIL approach, termed DAS-MI
Nov 28, 2023
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs
we propose a graph-based multi-scale MIL approach, termed DAS-MI
Oct 1, 2023
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
We introduce Neuro-Symbolic Continual Learning
Sep 5, 2023
Enhancing PFI Prediction with GDS-MIL: A Graph-based Dual Stream MIL Approach
we propose GDS-MIL, a method that integrates a state-of-the-art MIL model with a Graph ATtention layer (GAT in short) to inject a local context into each instance before MIL aggregation, usefull for PFI prediction
Sep 5, 2023
Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach
In this work we propose Buffer-MIL, which aims at tackling the covariate shift and class imbalance characterizing most of the existing histopathological datasets.
Sep 5, 2023
Catastrophic Forgetting in Continual Concept Bottleneck Models
we analyze Concept Bottleneck (CB) models in the Continual Learning.
Sep 5, 2022