14 End-to-end nodule analysis, and where to go next
This chapter covers
- Connecting segmentation and classification models
- Fine-tuning a network for a new task
- Adding histograms and other metric types to TensorBoard
- Getting from overfitting to generalizing
Over the past several chapters, we have built a decent number of systems that are important components of our project. We started loading our data, built and improved classifiers for nodule candidates, trained segmentation models to find those candidates, handled the support infrastructure needed to train and evaluate those models, and started saving the results of our training to disk. Now it’s time to unify the components we have into a cohesive whole, so that we may realize the full goal ...
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