Tuberculosis Classification

The objective of this task is to develop a machine learning pipeline that leverages the provided dataset for tuberculosis classification.

1. Exploratory Data Analysis:
   • Explore the dataset.
   • Visualize a few examples of chest X-rays and corresponding segmentation masks.
2. Data Preparation:
   • Preprocess the images for model input.
3. Modeling:
   • Classification Task: Predict PTB-positive vs. PTB-negative labels.
   • (Optional) Segmentation Task: Train a model to predict lung masks.
4. Evaluation:
   • Measure accuracy, F1 score, or AUC.
   • You will not be evaluated on the accuracy of your model(s).
   • You will be evaluated on your approach to the problem, please document your work.
5. Insights:
   • Provide a brief report on findings, challenges faced, and potential next steps.