OncoVision: Integrating Mammography and Clinical Data through Attention-Driven Multimodal AI for Enhanced Breast Cancer Diagnosis

arXiv:2511.19667 · cs.CV · Submitted 2025-11-24 · Read on arXiv

cs.CV

Submitted: 2025-11-24

Updated: 2026-09-24

Terminology

AUC — 58× in this paper · explained in 2 episodes
Late Fusion — 37× in this paper · explained in 2 episodes
Accuracy — 24× in this paper · explained in 1 episode
Segmentation Masks — 14× in this paper · explained in 2 episodes
F1 Score — 12× in this paper · explained in 3 episodes
Interpretability — 11× in this paper · explained in 15 episodes
Robustness — 11× in this paper · explained in 5 episodes
Alignment — 8× in this paper · explained in 1 episode
Consistency — 8× in this paper · explained in 3 episodes
Feature Extraction — 7× in this paper · explained in 2 episodes
Data Augmentation — 5× in this paper · explained in 7 episodes
Generalizability — 5× in this paper · explained in 6 episodes
American College of Radiology — 3× in this paper
Annotator Agreement — 3× in this paper · explained in 1 episode
Core — 3× in this paper · explained in 2 episodes
Embeddings — 3× in this paper · explained in 2 episodes
Generalization — 3× in this paper · explained in 13 episodes
Global Average Pooling — 3× in this paper
Receiver Operating Characteristic — 3× in this paper
Activation Function — 2× in this paper · explained in 1 episode
Attention Mechanism — 2× in this paper · explained in 3 episodes
Average Surface Distance — 2× in this paper
Downstream Tasks — 2× in this paper · explained in 2 episodes
False Discovery Rate — 2× in this paper
Feature Selection — 2× in this paper · explained in 4 episodes
Hausdorff Distance — 2× in this paper
Loss Function — 2× in this paper · explained in 2 episodes
Multimodal Fusion — 2× in this paper · explained in 3 episodes
Multimodal Integration — 2× in this paper · explained in 2 episodes
U-net architecture — 2× in this paper · explained in 3 episodes
Accountability — 1× in this paper · explained in 2 episodes
Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Boundary IoU and Relative Volume Difference — 1× in this paper
Calibration — 1× in this paper · explained in 7 episodes
Causal Inference — 1× in this paper · explained in 4 episodes
Clustering — 1× in this paper · explained in 2 episodes
Decision-Support Tool — 1× in this paper · explained in 2 episodes
Explainability — 1× in this paper · explained in 3 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Gradient Flow — 1× in this paper · explained in 2 episodes
Hounsfield Units — 1× in this paper
Kernel Density Estimation — 1× in this paper
Longitudinal Data — 1× in this paper · explained in 2 episodes
Multimodal Dataset — 1× in this paper · explained in 2 episodes
Multimodal Learning — 1× in this paper · explained in 2 episodes
Pairwise Comparisons — 1× in this paper · explained in 2 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Relative Absolute Volume Difference — 1× in this paper

Sources

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Terminology

Sources

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