Published June 19, 2023
| Version 0.1.0
Other
Open
pretrained models for 3D semantic image segmentation with InteractiveNet
Authors/Creators
- 1. Erasmus Medical Center (EMC)
Description
InteractiveNet is a self-configuring minimally interactive pipeline for medical image segmentation. We pretrained InteractiveNet for several applications. This repository contains the trained network parameters for these datasets. Instructions for how to use them are provided at: https://github.com/Douwe-Spaanderman/InteractiveNet
Files
Task800_WORC_MRI.zip
Files
(20.3 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:b9c6018817b82e66364055bead83c04d
|
8.9 MB | Preview Download |
|
md5:60d9f351a189223392758469658b75ac
|
11.3 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: 10.5281/zenodo.8038683 (DOI)
References
- Spaanderman DJ, Starmans M, van Erp G, Hanff DF, Sluijter JH, Schut AR, van Leenders GJ, Verhoef C, Grunhagen DJ, Niessen WJ, Visser JJ. Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning. arXiv preprint arXiv:2402.07746. 2024 Feb 12.