Update README.md

README.md

@@ -32,7 +32,7 @@ probabilistic segmentation](https://arxiv.org/abs/2312.15686) by Soumick Chatter
 
 - **Developed by:** Dr Soumick Chatterjee
 - **Model type:** 3D Probabilistic UNet (PULASki's baseline), trained (without a distribution distance loss) with Focal Tversky loss (FTL)
-- **Task:** Probabilistic multiple sclerosis (MS) segmentation in 3T MRI FLAIR volumes - provides 7 segmentations for each input volume
+- **Task:** Probabilistic multiple sclerosis (MS) segmentation in 3T MRI FLAIR volumes 
 - **Training dataset:** 3T FLAIR MRIs from the MS segmentation dataset of a MICCAI 2016 challenge, details mentioned in Sec. 4.1 of https://arxiv.org/pdf/2312.15686
 
 ### Model Sources