Medical Image Processing Deep Learning Framework

Develop an advanced medical image processing framework using PyTorch and OpenCV that can perform multi-modal diagnostic image segmentation and classification. The system must support DICOM image standards, implement state-of-the-art convolutional neural network architectures for detecting pathologies in radiology images, and provide model explainability through gradient-based activation maps. Include transfer learning capabilities and a modular design that allows easy integration of new image classification models for different medical imaging modalities.