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]