| --- |
| pipeline_tag: dose-prediction |
| language: |
| - en |
| --- |
| # Model Card — Model |
|
|
| **Task:** Dose prediction |
|
|
| --- |
|
|
| ## 0. Card Metadata |
|
|
| **Creation date**: — |
|
|
| ### Versioning |
|
|
| - **Version number**: 0.00 |
| - **Version changes**: — |
|
|
|
|
|
|
| --- |
|
|
| ## 1. Model Basic Information |
| **Name**: — |
|
|
| **Creation date**: — |
|
|
| ### Versioning |
|
|
| - **Version number**: — |
| - **Version changes**: — |
|
|
|
|
| ### Model scope |
|
|
| - **Summary**: — |
|
|
| - **Anatomical site**: — |
|
|
| ### Clearance |
|
|
| - **Type**: — |
|
|
| #### Approved by |
|
|
| - **Name(s)**: — |
|
|
| - **Institution(s)**: — |
|
|
| - **Contact email(s)**: — |
|
|
|
|
|
|
| **Observed limitations**: — |
|
|
|
|
| **Type of learning architecture**: — |
|
|
| ### Developed by |
|
|
| - **Name**: — |
|
|
| - **Institution(s)**: — |
|
|
| - **Contact email(s)**: — |
|
|
| **Conflict of interest**: — |
|
|
| **Software licence**: — |
|
|
|
|
|
|
|
|
|
|
|
|
| --- |
|
|
|
|
| ## 2. Technical specifications |
|
|
| ### 2.1 Model overview |
|
|
| #### Model pipeline |
| - **Summary:** — |
|
|
|
|
| - **Model inputs:** — |
|
|
| - **Model outputs:** — |
|
|
| - **Pre-processing:** — |
|
|
| - **Post-processing:** — |
|
|
| ### 2.2 Learning architecture(s) |
|
|
| #### Learning architecture 1 |
|
|
| | Field | Value | |
| |----------|-------| |
| | **Total number of trainable parameters** | — | |
| | **Number of inputs** | — | |
| | **Input content** | — | |
| | **Input size** | — | |
| | **Number of outputs** | — | |
| | **Output content** | — | |
| | **Output size** | — | |
| | **Loss function** | — | |
| | **Batch size** | — | |
| | **Regularisation** | — | |
| | **Uncertainty quantification techniques** | — | |
| | **Explainability techniques** | — | |
|
|
|
|
|
|
| ### 2.3 Hardware & software |
|
|
|
|
| _No hardware and software details specified._ |
|
|
|
|
|
|
| --- |
|
|
|
|
| ## 3. Training Data Methodology and Information |
|
|
| #### Fine tuned form |
|
|
| - **Model name:** — |
|
|
| - **URL/DOI to model card:** — |
|
|
| - **Tuning technique:** — |
|
|
| #### Training Dataset |
|
|
| ##### General information |
|
|
| - **Total size:** — |
|
|
| - **Number of patients:** — |
|
|
| - **Source:** — |
|
|
| - **Acquisition period:** — |
|
|
| - **Inclusion / exclusion criteria:** — |
|
|
| - **Type of data augmentation:** — |
|
|
| - **Strategy for data augmentation:** — |
|
|
|
|
| ##### Technical specifications |
| _No input/output technical specifications provided._ |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| - **Reference standard:** — |
|
|
| - **Reference standard QA:** — |
|
|
|
|
| ##### Patient demographics and clinical characteristics |
|
|
|
|
|
|
| - **Age:** — |
|
|
| - **Sex:** — |
|
|
|
|
|
|
|
|
| **Validation strategy:** — |
|
|
| **Validation data partition:** — |
|
|
|
|
|
|
|
|
|
|
|
|
| **Model choice criteria:** — |
|
|
| **Inference method:** — |
|
|
| --- |
|
|
|
|
|
|
| ## 4. Evaluation Data Methodology, Results and Commissioning |
|
|
| _No evaluations provided._ |
|
|
|
|
| --- |
|
|
| ## 5. Other considerations |
|
|
| _No other considerations provided._ |
|
|
|
|
| --- |
|
|
|
|
