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3d-medical-imaging-segmentation

Here are 5 public repositories matching this topic...

himashi92 / VT-UNet

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

deep-learning pytorch mri transformer segmentation semantic-segmentation tumor-segmentation pytorch-implementation brats-dataset vision-transformer 3d-medical-imaging-segmentation volumetric-transformer pure-transformer vtunet

Updated Sep 11, 2023
Python

tamasino52 / UNETR

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

semantic-segmentation medical-image-segmentation 3d-medical-imaging-segmentation

Updated Feb 26, 2023
Python

tianrun-chen / xLSTM-UNet-PyTorch

Replacing Mamba with xLSTM! It works better. We show that xLSTM-Unet can be an effective semantic segmentation backbone.

medical-imaging segmentation imagesegmentation medical-image-segmentation 3d-medical-images 3d-medical-imaging-segmentation

Updated Jul 5, 2024
Python

VinAIResearch / Point-Unet

Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation (MICCAI 2021)

point-cloud-segmentation 3d-medical-imaging-segmentation

Updated Jul 22, 2024
Python

mist-medical / MIST

MIST: A simple, scalable, and end-to-end framework for 3D medical imaging segmentation.

deep-learning pytorch medical-imaging convolutional-neural-networks image-segmentation unet vision-transformer attention-unet nnunet 3d-medical-imaging-segmentation unetr

Updated Nov 1, 2024
Python

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