Model Test
Table of Contents
- Model Test
- Table of Contents
- 1. Model Basic Information
- 2. Technical Specifications
- 3. Training Details
- 4. Model Evaluation
- 5. Model Examination
1. Model Basic Information
- Version: 0
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.
Click to expand
More information needed
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
_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