You are developing a custom image classification model for a healthcare application that needs to classify X-ray images into different categories. The model needs to be highly accurate and reliable due to the critical nature of the application. Describe how you would approach the training of this model, including the choice of model architecture, the labeling process, and the metrics you would use to evaluate the model's performance.