Performance of Machine Learning Classification in Sonomammogram Images using BI-RADS

arXiv:2311.08493 · eess.IV, cs.CV · Submitted 2023-11-14 · Read on arXiv

eess.IV, cs.CV

Submitted: 2023-11-14

Updated: 2026-09-17

Terminology

• Accuracy — 15× in this paper · explained in 1 episode
• F1 Score — 11× in this paper · explained in 3 episodes
• Fine-Tuning — 11× in this paper · explained in 5 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Breast Imaging Reporting and Data System — 3× in this paper
• Computer-Aided Diagnosis — 3× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• World Health Organization — 2× in this paper
• Decision Trees — 1× in this paper
• Information Leakage — 1× in this paper · explained in 2 episodes
• Linear Probing — 1× in this paper · explained in 2 episodes
• Random Forest — 1× in this paper
• Support Vector Machines — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• Very Deep Convolutional Networks for Large-Scale Image Recognition
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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