Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers

arXiv:2602.15783 · cs.CV · Submitted 2026-02-17 · Read on arXiv

cs.CV

Submitted: 2026-02-17

Updated: 2026-09-24

Code: https://github.com/qitianwu/SGFormer

Terminology

• Transformer — 48× in this paper · explained in 2 episodes
• Accuracy — 21× in this paper · explained in 1 episode
• GNNs — 14× in this paper · explained in 2 episodes
• Transformer Models — 5× in this paper · explained in 2 episodes
• Adjacency Matrix — 4× in this paper · explained in 1 episode
• Ablation — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Attention Mechanism — 3× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision Workshop — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Hypergraph — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
• Structure Embedded Nucleus Classification for Histopathology Images
• Adam: A Method for Stochastic Optimization
• SIGN: Scalable Inception Graph Neural Networks

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