SuPreM

SuPreM copied to clipboard

question of inference for abdomenatlas data

3

hi ,this is the result of abdomenatlas data for runing the project , is it right ? it did't show segmentation for 9 class  Warm regards

cclamd

9,262 CT volumes Pre-trained model release

1

Hi, First of all. Thank you for your amazing work. I am wondering if you would release the supervised pre-trained model weight of the paper too? Currently, I can only...

icekang

How to apply it to other datasets?

1

The pretraining-finetuning paradigm has become the most popular method for achieving better task performance at a lower cost. Transfer learning is becoming increasingly important, including in the field of 3D...

chenyujiehome

Welcome to suggest more medical segmentation backbones

3

**Suggested format** - Paper title: - Paper link: - Code link:

MrGiovanni

Welcome to share the paper and code related to 3D medical pre-training

3

**Suggested format** - Paper title: - Author list: - Paper link: - Code link: We have made efforts to include papers related to 3D medical pre-training as comprehensively as possible...

MrGiovanni

Hello, Where can I download the 25 annotations of 5,195 CT volumes? The dataset in Hugging Face ([AbdomenAtlas1.0Mini](https://huggingface.co/datasets/AbdomenAtlas/AbdomenAtlas1.0Mini)) only contains 8 organ annotations. What about the pseudo annotations of 7...

lotfi-hku

Added a summary of existing work on SAM1 and SAM2 in medical fields

csyfjiang