[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
-
Updated
Nov 2, 2024 - Python
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
The implementation of our MICCAI22 paper "Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans".
Add a description, image, and links to the ct-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the ct-segmentation topic, visit your repo's landing page and select "manage topics."