Implementing a deep learning based image segmentation in Slicer3D

Hello,

I am trying to develop a deep learning based image segmentation of pelvic bone region. During my search for open source training dataset I came across a paper which has already implemented a good strategy for doing so. The paper is implemented in Pytorch and makes use of MONAI framework in the process. I am attaching the link of the github repository.

[GitHub - ICT-MIRACLE-lab/CTPelvic1K: Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.]

(GitHub - ICT-MIRACLE-lab/CTPelvic1K: Resources of the paper “Deep Learning to Segment Pelvic Bon)

I wanted to ask as to how much time would it take to transfer the implementation from PYtorch format to start using it in Slicer3D for the segmentation purposes?

Thanks

You can use pytorch directly in Slicer now, so it should be pretty straightforward to bring that into Slicer.

1 Like