databricks-industry-solutions/pixels

AI Summary: The task requires extending the existing image processing pipeline to support additional file formats beyond .jpg, .jpeg, and .dcm. This involves creating adapters to handle the reading and conversion of these new formats into a suitable representation (potentially base64 strings) for subsequent PHI de-identification and image processing steps. The goal is to enhance the flexibility and applicability of the system to a wider range of medical image data.

AI Summary: Create a Databricks notebook demonstrating the loading of a custom 2D segmentation model from a Unity Catalog volume, registering it with Unity Catalog, and then using it for inference on an interactive cluster. The notebook should provide a clear, step-by-step guide, building upon the existing Pixels framework.