3 papers
eess.IV2026
A Hierarchical Framework for Graph Structure Learning in Histopathology Image Classification
Sudipta Paul, Amanda W. Lund, Bülent Yener
The spatial organization of cells and tissues provides important diagnostic cues in histopathology images. Although graph-based approaches can model these relationships, many rely…
eess.IV2025
Approximate Bilevel Graph Structure Learning for Histopathology Image Classification
Sudipta Paul, Amanda W. Lund, George Jour +2
The structural and spatial arrangements of cells within tissues represent their functional states, making graph-based learning highly suitable for histopathology image analysis. Ex…
eess.IV2024
C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading
Sudipta Paul, Bulent Yener, Amanda W. Lund
Graph-based learning approaches, due to their ability to encode tissue/organ structure information, are increasingly favored for grading colorectal cancer histology images. Recent…