TAM-Chain: Multi-Scale Thyroid Cytology Classification via Absorbing Markov Chains and Shannon Entropy Uncertainty Quantification for False-Negative Suppression and Domain-Shift Adaptation

arXiv:2609.28590 · cs.LG, cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.LG, cs.CV

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Domain Shift — 21× in this paper · explained in 4 episodes
• External Validation — 15× in this paper · explained in 2 episodes
• Uncertainty Quantification — 12× in this paper · explained in 8 episodes
• Human-in-the-Loop — 7× in this paper · explained in 3 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Aggregation — 6× in this paper · explained in 1 episode
• Feature Extraction — 5× in this paper · explained in 2 episodes
• F1 Score — 4× in this paper · explained in 3 episodes
• Computational overhead — 3× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Whole Slide Image — 3× in this paper
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptability — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Deferral — 2× in this paper · explained in 2 episodes
• False-Negative Rate — 2× in this paper
• Fidelity — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Adaptive Mechanism — 1× in this paper · explained in 1 episode
• Adaptive Safety — 1× in this paper · explained in 1 episode
• Aleatoric Uncertainty — 1× in this paper · explained in 4 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 1× in this paper · explained in 9 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Shannon Entropy-based Uncertainty Quantification — 1× in this paper
• Thyroid Fine-Needle Aspiration Biopsy — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• MedBayes-Lite: A Clinical Uncertainty Governance Layer for Risk-Aware Medical Decision Support
• AdaThink-Med: Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification

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