Histopathology image embedding based on foundation models features aggregation for patient treatment response prediction

arXiv:2408.03954 · cs.CV · Submitted 2024-07-23 · Read on arXiv

cs.CV

Submitted: 2024-07-23

Updated: 2024-07-23

Terminology

Foundation Model — 39× in this paper · explained in 3 episodes
Foundation Models — 37× in this paper · explained in 7 episodes
Aggregation — 28× in this paper · explained in 1 episode
Aggregation Function — 16× in this paper · explained in 1 episode
Diffuse Large B-Cell Lymphoma — 10× in this paper
Multiple Instance Learning — 7× in this paper
Embeddings — 6× in this paper · explained in 2 episodes
Whole Slide Image — 6× in this paper
Self-Supervised Learning — 5× in this paper · explained in 8 episodes
Transformer — 5× in this paper · explained in 2 episodes
AUC — 4× in this paper · explained in 2 episodes
Accuracy — 3× in this paper · explained in 1 episode
Feature Extraction — 3× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 2× in this paper
Loss Function — 2× in this paper · explained in 2 episodes
Distillation — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Multiple Instance Learning (MIL) — 1× in this paper · explained in 2 episodes
Self-Supervised Learning (SSL) — 1× in this paper · explained in 4 episodes
Transformer Architecture — 1× in this paper · explained in 2 episodes

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