Multi-Scale Lung Histopathology Classification
A pathology model that fuses 20x and 40x whole-slide image views with cross-scale attention for malignancy, subtype, and differentiation grading.
project status: prototype
Lobe Ranger is a multi-scale ordinal pathology foundation network for whole-slide lung histopathology.
The model pairs 20x and 40x image views so the network can preserve both architectural context and cytologic detail. A shared ViT backbone feeds bidirectional cross-scale attention and multi-task heads for malignancy, subtype, and ordinal differentiation classification.
Core pieces:
- Patient-wise 20x and 40x magnification pairing
- Shared ViT feature extraction
- Bidirectional cross-scale attention fusion
- Multi-task classification for malignancy, subtype, and differentiation grade
- Attention audit utilities for explainability checks