Towards Whole-Study Screening for Congenital Heart Disease in Fetal Ultrasound Using Multiple Instance Learning

arXiv:2609.31376 · eess.IV, cs.CV · Submitted 2026-09-25 · Read on arXiv

eess.IV, cs.CV

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• AUC — 32× in this paper · explained in 2 episodes
• Adaptation — 32× in this paper · explained in 1 episode
• Transformer — 16× in this paper · explained in 2 episodes
• Alignment — 10× in this paper · explained in 1 episode
• Accuracy — 7× in this paper · explained in 1 episode
• Domain Adaptation — 7× in this paper · explained in 5 episodes
• Aggregation — 6× in this paper · explained in 1 episode
• Embeddings — 4× in this paper · explained in 2 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Medical Image Computing and Computer Assisted Intervention — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Distribution Shift — 2× in this paper · explained in 5 episodes
• Self-Supervised Learning — 2× in this paper · explained in 7 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Two-Stage Framework — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Alignment Methods — 1× in this paper · explained in 1 episode
• Area Under the Curve (AUC) — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Computer Vision and Pattern Recognition — 1× in this paper
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Multiple Instance Learning (MIL) — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Gaussian Error Linear Units (GELUs)
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

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