Medical Image Classification Deep Learning Pipeline

Construct a comprehensive deep learning image classification system using TensorFlow and Keras specifically designed for medical imaging diagnostics. The model should be capable of processing DICOM files, implementing transfer learning from pre-trained medical imaging models, and achieving minimum 90% accuracy across multiple diagnostic categories (cancer detection, radiological anomalies). Include extensive data augmentation, model interpretability features, and a modular architecture supporting multiple imaging modalities.