Objective
Identify distinguishing visual and morphological features for each cervical cell category and design a model to extract them.
Task Details
- Analyze the dataset to determine key features unique to each cell class (e.g., nucleus size, texture, shape, cytoplasm boundaries).
- Review relevant literature to support feature selection and interpretation.
- Design a model (or module) that learns and extracts these class-specific features effectively.
- Ensure the model's outputs can support interpretability and downstream decision-making.
Deliverables
- Feature analysis summary with visual or statistical evidence
- Model implementation for feature extraction
- Sample outputs or visualizations for extracted features per class