Model Test
Table of Contents
1. Model Basic Information
1.1. Intended use
- Treatment site ICD10: ['C15-C26 Malignant neoplasms of digestive organs']
- Treatment modality: More information needed
- Prescription levels [Gy]: More information needed
- Additional information: More information needed
- Motivation for development: More information needed
- Class: More information needed
- Creation date: 2024-07-03
- Type of architecture UNET
1.2. Development and deployment
- Developed by: Name: More information needed, Instutution: More information needed, Email: More information needed
- Funded by: More information needed
- Shared by: More information needed
- License: More information needed
- Finetuned from model: More information needed
- Related Research Paper(s): More information needed
- Related Git Repository: More information needed
1.3. How to Get Started with the Model
Use the code below to get started with the model.
<details>
<summary> Click to expand </summary>
More information needed
</details>
2. Technical Specifications
2.1. Model architecture
- Total number of parameters: 5
- Input channels: More information needed
- Loss function More information needed
- Batch size 1
- Patch dimension More information needed
<img width="100%" src="https://cdn-uploads.huggingface.co/production/uploads/65c9dbefd6cbf9dfed67367e/xGGUE5spRY6tar5R4VeKX.png" alt="error while loading image">
Figure 1: Model architecture
- Libraries/Dependencies: ['pytorch']
- Hardware recommended: More information needed
- Inference time for recommended [seconds] 10
3. Training Details
- Training set size: 10
- Validation set size: 10
| Age distribution | Sex distribution |
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- Dataset source: More information needed
- Acquisition date from 2024-07-03 to 2024-07-03
4. Model Evaluation
5. Model Examination