A novel attention mechanism for noise-adaptive and robust segmentation of microtubules in microscopy images

arXiv:2507.07800 · q-bio.QM, cs.CV · Submitted 2025-07-10 · Read on arXiv

q-bio.QM, cs.CV

Submitted: 2025-07-10

Updated: 2026-04-22

Terminology

• Attention Mechanism — 25× in this paper · explained in 3 episodes
• AUC — 21× in this paper · explained in 2 episodes
• Loss Function — 15× in this paper · explained in 2 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Robustness — 10× in this paper · explained in 5 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Transferability — 5× in this paper · explained in 4 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Benchmarking — 4× in this paper · explained in 3 episodes
• Matthews Correlation Coefficient — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Adaptability — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Adaptive Squeeze-and-Excitation — 3× in this paper
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Weighted Cross Entropy — 3× in this paper
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptive Mechanism — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Binary Cross Entropy — 2× in this paper
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Gradient Flow — 2× in this paper · explained in 2 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Langevin Dynamics — 2× in this paper · explained in 2 episodes
• Signal-to-noise ratio (SNR) — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptive Decoding — 1× in this paper · explained in 1 episode
• Computational Biology — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contextual Awareness — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Adversial Network — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

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