A spatial-aware MLP-Mixer with polar rotary position embedding and channel-shifting SAC blocks achieves state-of-the-art slide-level classification on CAMELYON-16, TCGA-LUNG, and TCGA-BRCA.
Transformers are rnns: Fast autoregressive transformers with linear attention
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification
A spatial-aware MLP-Mixer with polar rotary position embedding and channel-shifting SAC blocks achieves state-of-the-art slide-level classification on CAMELYON-16, TCGA-LUNG, and TCGA-BRCA.