ThyroidEffi 1.0: A Cost-Effective System for High-Performance Multi-Class Thyroid Carcinoma Classification

arXiv:2504.14139 · cs.CV, cs.AI · Submitted 2025-04-19 · Read on arXiv

cs.CV, cs.AI

Submitted: 2025-04-19

Updated: 2025-04-27

Code: https://github.com/Harito97/Research_ThyroidFNA_ClassAI

Terminology

• Accuracy — 25× in this paper · explained in 1 episode
• External Validation — 25× in this paper · explained in 2 episodes
• Transformer — 24× in this paper · explained in 2 episodes
• Data Augmentation — 23× in this paper · explained in 7 episodes
• F1 Score — 14× in this paper · explained in 3 episodes
• AUC — 9× in this paper · explained in 2 episodes
• Generalizability — 9× in this paper · explained in 6 episodes
• Calibration — 8× in this paper · explained in 7 episodes
• Convolutional Neural Network — 7× in this paper
• Interpretability — 6× in this paper · explained in 15 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Loss Function — 5× in this paper · explained in 2 episodes
• Computational overhead — 4× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Explainability — 4× in this paper · explained in 3 episodes
• Fine Needle Aspiration Biopsy — 4× in this paper
• Papillary Thyroid Carcinoma — 4× in this paper
• Aggregation — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Feed-Forward Neural Network — 3× in this paper
• Principal Component Analysis — 3× in this paper
• Regularization — 3× in this paper · explained in 3 episodes
• Vision Transformer (ViT) — 3× in this paper · explained in 2 episodes
• Whole Slide Image — 3× in this paper
• Adam — 2× in this paper · explained in 2 episodes
• Area Under the Curve — 2× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Correlation Optical Diffraction Tomography — 2× in this paper
• Distribution Shift — 2× in this paper · explained in 6 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Uniform Manifold Approximation and Projection — 2× in this paper
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• CNNs for Region of Interest — 1× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
• From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research
• YOLOv10: Real-Time End-to-End Object Detection
• Very Deep Convolutional Networks for Large-Scale Image Recognition
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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