Feature Space Guidance for Breast Cancer Classification in DCE-MRI

arXiv:2609.32555 · cs.CV, cs.AI · Submitted 2026-09-26 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/MIC-DKFZ/CURIAtor

Terminology

• Foundation Model — 10× in this paper · explained in 3 episodes
• AUROC — 8× in this paper · explained in 2 episodes
• Transfer Learning — 6× in this paper · explained in 10 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Foundation Models — 4× in this paper · explained in 7 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Active Learning — 3× in this paper · explained in 6 episodes
• Distribution Shift — 3× in this paper · explained in 6 episodes
• nnU-Net — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Active Learning Strategy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Domain Shift — 1× in this paper · explained in 4 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
• Curia: A Multi-Modal Foundation Model for Radiology
• MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI
• A European Multi-Center Breast Cancer MRI Dataset
• Vision Foundation Models for Computed Tomography
• Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation

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