Visual Figure Gallery

This page shows generated Fyron figure examples from synthetic data. The images demonstrate layout, annotation style, and manuscript-ready visual language; they are not clinical results.

Use this gallery to choose a plot family, then follow the linked module guide for parameters, return values, and export patterns.

Gallery Coverage

The gallery is representative, not exhaustive. It covers the main clinical plotting families and uses synthetic data only, so the images demonstrate layout and style rather than clinical results.

Survival

Kaplan-Meier curve with at-risk table — **Kaplan-Meier with at-risk counts**Use for time-to-event group comparisons, censoring review, and log-rank summaries. See Survival Analysis and Clinical Plotting.

Forest plot with hazard ratio estimates — **Forest estimates and hazard ratios**Use for Cox terms, subgroup effects, odds ratios, or manuscript effect-size tables. See Forest Plots.

Directional ratio rows with protective and hazardous bands — **Directional ratio rows**Use for odds or hazard ratios when readers should see protective effects left of one and hazardous effects right of one. See Directional Ratio Rows.

Model Discrimination

**ROC curve**Use for binary discrimination when predicted probabilities or scores rank patients. See Model Evaluation Plot Set.

Cross-validated ROC curves — **Cross-validated ROC**Use out-of-fold predictions to show fold-level ROC curves, mean AUC, and variability. See Model Evaluation Plot Set.

**Precision-recall curve**Use when the endpoint is imbalanced and positive predictive value matters. See Model Evaluation Plot Set.

Calibration And Thresholds

**Calibration curve**Use to inspect whether predicted probabilities match observed risk. See Model Evaluation Plot Set.

**Confusion matrix**Use to explain thresholded model errors with TP, FP, FN, and TN counts. See Model Evaluation Plot Set.

Survival calibration plot — **Survival calibration**Use for fixed-horizon survival or event-risk calibration checks. See Validation And QC Plots.

Validation And Decision Curves

Grouped model validation metric bars — **Metric bars**Use to compare AUC, sensitivity, specificity, F1, or external validation metrics across models. See Model And Validation Plots.

External validation metric bars — **External validation**Use for compact external validation metric summaries. See Validation And QC Plots.

**Decision curve**Use to compare net benefit across clinically meaningful thresholds. See Validation And QC Plots.

Time-dependent AUC curve — **Time-dependent AUC**Use for precomputed AUC values across follow-up horizons. See Validation And QC Plots.

Risk And Endpoint Bars

Risk score distribution by event status — **Risk score distribution**Use to show how predicted risk separates event and non-event groups while preserving distribution shape. See Risk Score Distribution.

Likert scale plot — **Likert scale**Use for reader studies, clinical expert surveys, usability ratings, and ordered response summaries. See Likert Scale Plots.

**Waffle plot**Use for cohort composition, class balance, endpoint mix, or review status summaries. See Waffle Plots.

Patterned endpoint rate bar plot — **Patterned bar plot**Use hatches with a named palette when endpoint or model bars must remain readable in grayscale. See Patterned Bar Plot.

Feature Selection And Importance

Feature importance bar plot — **Feature importance**Use for top-N model importance summaries from tree or tabular models. See Function Summary.

Feature selection summary plot — **Feature selection summary**Use to show selected and rejected features from a selection table. See Function Summary.

Stability selection frequency plot — **Stability selection**Use to show feature-selection frequencies and the chosen stability threshold. See Function Summary.

Multi-group volcano plot — **Volcano plot**Use for omics, radiomics, or biomarker screening by effect size and p-value. See Function Summary.

Distributions

Grouped boxplot with statistical annotation — **Grouped boxplot with annotation**Use for compact group comparisons with patient-level points and statistical brackets. See Grouped Boxplots.

Swarmplot with points by group and hue — **Swarmplot**Use when individual patient-level values should remain visible, especially in smaller cohorts. See Distribution Plots.

Density curves grouped by event status — **Density plot**Use when a boxplot hides distribution shape or multimodality. See Density Plots.

Histogram grouped by event status — **Histogram**Use when absolute counts or percentages across numeric bins matter for interpretation. See Histograms.

Raincloud distribution plot — **Raincloud plot**Use when distribution shape, summary interval, and patient-level values all need to remain visible. See Function Summary.

Agreement And Response

Bland-Altman agreement plot — **Bland-Altman**Use for agreement review between two measurement methods or model outputs. See Function Summary.

Waterfall response plot — **Waterfall plot**Use for ordered patient-level response, percent change, or risk-score change. See Function Summary.

Swimmer treatment timeline plot — **Swimmer plot**Use for patient-level treatment duration, response events, and oncology timelines. See Function Summary.

Missingness And Table Summaries

Missingness bar plot — **Missingness bar**Use to communicate variable-level missingness before modeling or imputation. See Function Summary.

Table one p-value summary plot — **Table 1 summary**Use for a compact visual overview of Table 1 p-values. See Function Summary.

Statistical Annotations

Significance bars showing negative log p-values — **Significance bars**Use for p-value screening summaries, log-rank tests, or univariate feature checks. See Significance Bars.

Signed feature weights with direction — **Signed feature weights**Use for model coefficients, risk direction, and compact feature contribution summaries. See Signed Feature Weights.

Segmentation QC

Dice by label bar plot — **Dice by label**Use to summarize segmentation overlap metrics per organ, tissue, or label. See Validation And QC Plots.

Correlation And Cohort QC

Correlation heatmap for clinical features — **Correlation heatmap**Use for exploratory feature correlation, leakage review, and manuscript supplement QC. See Correlation Heatmaps.

Cohort flow bar plot — **Cohort flow**Use to report inclusion and exclusion counts from source cohort to final analysis set. See Flow Explainability and Cohort Flow Plots.

Alluvial categorical flow plot — **Alluvial flow**Use for phenotype transitions, treatment sequences, or curation-state paths. See Function Summary.

**Binned marker heatmap**Use for patient-feature marker panels with discrete risk or value bins. See Function Summary.

Regenerate The Gallery

The gallery assets are generated from code:

bash

uv run python scripts/generate_plot_examples.py
uv run python scripts/build_docs.py

Keep the generated PNGs with the documentation source so the rendered site stays stable across environments.