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# Cryo-EM Image Segmentation Report
## Phase 1: Manual Implementation
### Approach
[Describe your approach to solving the problem, including the model architecture, loss functions, and training strategy]
### Experiments
| Experiment | Description | Training Loss | Validation Loss | Public Score | Private Score |
|------------|-------------|---------------|-----------------|--------------|---------------|
| Baseline | Simple CNN | 0.XX | 0.XX | 0.XX | 0.XX |
| Exp 1 | [Change 1] | 0.XX | 0.XX | 0.XX | 0.XX |
| Exp 2 | [Change 2] | 0.XX | 0.XX | 0.XX | 0.XX |
### Training Curves
[Insert training and validation loss curves for your final solution]
### Analysis
[Analyze the results of your experiments, discussing what worked and what didn't]
## Phase 2: Open Resources
### Approach
[Describe the tools and pre-implemented solutions you used]
### Results
| Method | Description | Public Score | Private Score |
|--------|-------------|--------------|---------------|
| Method 1| [Description]| 0.XX | 0.XX |
| Method 2| [Description]| 0.XX | 0.XX |
### Comparison
[Compare the results between Phase 1 and Phase 2, discussing the benefits and drawbacks of each approach]
## Conclusions
[Summarize your findings and discuss potential future improvements] |