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@@ -32,7 +32,7 @@ probabilistic segmentation](https://arxiv.org/abs/2312.15686) by Soumick Chatter
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  - **Developed by:** Dr Soumick Chatterjee
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  - **Model type:** 2D Probabilistic UNet (PULASki's baseline), trained (without a distribution distance loss) with Focal Tversky loss (FTL)
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- - **Task:** Probabilistic multiple sclerosis (MS) segmentation in 3T MRI FLAIR volumes - provides 7 segmentations for each input volume
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  - **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
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  ### Model Sources
 
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  - **Developed by:** Dr Soumick Chatterjee
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  - **Model type:** 2D Probabilistic UNet (PULASki's baseline), trained (without a distribution distance loss) with Focal Tversky loss (FTL)
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+ - **Task:** Probabilistic multiple sclerosis (MS) segmentation in 3T MRI FLAIR volumes
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  - **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
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  ### Model Sources