Document project progress and next steps in README

Updated README with project progress and next steps.

Author: fedorov

PW44_2026_GranCanaria/Projects/WsidicomizerBasedConversionIntoDicomWsiFormatForImagingDataCommons/README.md

@@ -60,11 +60,27 @@ This project is the continuation of the [earlier project at PW42 2025](https://p
 <!-- Update this section as you make progress, describing of what you have ACTUALLY DONE.
      If there are specific steps that you could not complete then you can describe them here, too. -->
 
-
-1. Describe specific steps you **have actually done**.
-
-
-
+```
+CSV Files → CCDIMetadataLoader → DomainMetadata → MetadataBuilder → WsiDicomizerMetadata + Dataset
+                  ↓                                       ↓
+            UIDRegistry                           Code Tables (CSV)
+             (SQLite)
+```
+
+1. Set up [exploration repository](https://github.com/fedorov/pw44-wsi-conversion) that included code base from various related conversion tools 
+2. Identified relevant sample earlier converted in IDC from the [CCDI-MCI collection](https://portal.imaging.datacommons.cancer.gov/explore/filters/?collection_id=CCDI&collection_id=ccdi_mci), which was selected as the initial target for development
+3. Used Claude Code and Copilot to independently develop plan and initial implementation for migrating from pixelmed (see `copilot_solution` and `claude_solution`) in the repo
+4. Used Claude Code and Copilot to independently scritinize both solution and summarize pros and cos (see reports in the top level of the repo)
+5. Examined the analysis, implementations, selected Copilot solution as the preferred (supported by the analysis)
+6. Iterated to make [the converter](https://github.com/fedorov/pw44-wsi-conversion/blob/main/copilot-solution/convert_ccdi.py) work on the selected CCDI-MCI sample
+7. Iterated to add features and refine organization
+8. Confirmed functionality on an independent sample not supplied to the agent during development
+9. Confirmed `dciodvfy` DICOM validator does not report issues related to the specimen metadata.
+10. Confirmed converted images load with the QuPath BioFormats DICOM loader
+11. Next steps:
+  * validate specimen metadata against the pixelmed-conversion results
+  * look into ICC profile handling, pixel data total size difference, potentially missing label/overview images
+  * extend/test for collections other than CCDI
 
 # Illustrations