Radiomics and artificial Intelligence for thyroid cancer diagnosis: Concepts, challenges, and solutions

arXiv:2404.07239 · q-bio.QM, cs.AI, eess.IV · Submitted 2024-04-09 · Read on arXiv

q-bio.QM, cs.AI, eess.IV

Submitted: 2024-04-09

Updated: 2026-09-23

Terminology

• Accuracy — 68× in this paper · explained in 1 episode
• AUC — 65× in this paper · explained in 2 episodes
• Feature Selection — 18× in this paper · explained in 4 episodes
• Feature Extraction — 12× in this paper · explained in 2 episodes
• Interpretability — 9× in this paper · explained in 15 episodes
• F1 Score — 6× in this paper · explained in 3 episodes
• Reinforcement Learning — 6× in this paper · explained in 4 episodes
• Transfer Learning — 5× in this paper · explained in 10 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Clustering — 4× in this paper · explained in 2 episodes
• Generalizability — 4× in this paper · explained in 6 episodes
• Region of Interest — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• American Joint Committee on Cancer — 2× in this paper
• Area Under the Receiver Operating Characteristic — 2× in this paper
• Convolutional Neural Networks — 2× in this paper
• Cooperation — 2× in this paper · explained in 2 episodes
• Ensemble Learning — 2× in this paper · explained in 2 episodes
• External Validation — 2× in this paper · explained in 2 episodes
• Institute for Intelligent Systems Research and Innovation — 2× in this paper
• Random Forest — 2× in this paper
• Semi-supervised Learning — 2× in this paper · explained in 4 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Area Under the Precision-Recall Curve — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Diagnostic Tools — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Linear Regression — 1× in this paper
• Multiple Criteria Decision Making — 1× in this paper
• Principal Component Analysis — 1× in this paper
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Recurrent Neural Networks — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Support Vector Machines — 1× in this paper

Sources

• Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade
• Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina
• Current and future roles of artificial intelligence in retinopathy of prematurity

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