Towards Accurate and Lightweight Peripheral Neuroblastic Tumor Diagnosis via Contrastive Multi-scale Pathological Image Analysis

arXiv:2504.13754 · cs.CV, cs.AI · Submitted 2025-04-18 · Read on arXiv

cs.CV, cs.AI

Submitted: 2025-04-18

Updated: 2026-08-31

Comments: 14pages, 10 figures

Journal ref: IEEE Journal of Biomedical and Health Informatics 2026

Code: https://github.com/JSLiam94/CoPath

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 31× in this paper · explained in 2 episodes
• Interpretability — 10× in this paper · explained in 15 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Generalization — 9× in this paper · explained in 13 episodes
• Feature Extraction — 6× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 4× in this paper
• Contrastive Learning — 4× in this paper · explained in 5 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• F1 Score — 3× in this paper · explained in 3 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Activation Function — 2× in this paper · explained in 1 episode
• Adaptability — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Winter Conference on Applications of Computer Vision — 2× in this paper
• AUC — 1× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive-Driven Feature Augmentation — 1× in this paper
• Cross-Attention Mechanism — 1× in this paper · explained in 2 episodes
• Diagnostic Tools — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Linear Probing — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Self-Supervised Learning (SSL) — 1× in this paper · explained in 4 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement
• Very Deep Convolutional Networks for Large-Scale Image Recognition

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