Update README.md

README.md

@@ -26,6 +26,7 @@ This method is elaborated on the paper [Medical SAM Adapter: Adapting Segment An
  - 24-01-21. We've added [LoRA](https://huggingface.co/docs/diffusers/training/lora) to our framework🤖. Use it by setting ``-mod`` as ``sam_lora``.
 A guidance can be found in [here](https://github.com/KidsWithTokens/Medical-SAM-Adapter/blob/main/guidance/lora.ipynb). Credit: @shinning0821
  - 24-01-22. We've added datasetloader for [LIDC dataset](https://paperswithcode.com/dataset/lidc-idri), a multi-rater(4 raters 👨‍⚕️🧑🏽‍⚕️👩‍⚕️🧑🏽‍⚕️) lesions segmentation from low-dose lung CTs 🩻. You can download the preprocessed LIDC dataset at [here](https://github.com/stefanknegt/Probabilistic-Unet-Pytorch). Also updated environment, and random_click function. Credit: @jiayuanz3
+ - 24-03-06. We've supported multi-class segmentation (maximum 4 classes). Use it by setting ``-multimask_output`` to the number of classes favored. Also updated REFUGE example to two classes (optic disc & cup). Credit: @LJQCN101
 
 ## Medical Adapter Zoo 🐘🐊🦍🦒🦨🦜🦥
 We've released a bunch of pre-trained Adapters for various organs/lesions in [Medical-Adapter-Zoo](https://huggingface.co/KidsWithTokens/Medical-Adapter-Zoo/tree/main). Just pick the adapter that matches your disease and easily adjust SAM to suit your specific needs 😉.