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robbinc91's Projects

3dunetcnn icon 3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

atlasreader icon atlasreader

Python interface for generating coordinate tables and region labels from statistical MRI images

brain-tissue-segmentation-using-deep-learning-pipeline-neuronet icon brain-tissue-segmentation-using-deep-learning-pipeline-neuronet

This Repository is for the MISA Course final project which was Brain tissue segmentation. we adopt NeuroNet which is a comprehensive brain image segmentation tool based on a novel multi-output CNN architecture which has been trained and tuned using IBSR18 dataset

brainchop icon brainchop

Brainchop: In-browser 3D MRI rendering and segmentation

carbon-lang icon carbon-lang

Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)

dalle-mini icon dalle-mini

DALL·E Mini - Generate images from a text prompt

dalle-playground icon dalle-playground

A playground to generate images from any text prompt using DALL-E Mini and based on OpenAI's DALL-E https://openai.com/blog/dall-e/

deepbrainseg icon deepbrainseg

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

gco_python icon gco_python

Python wrappers for GCO alpha-expansion and alpha-beta-swaps

gnn-pytorch icon gnn-pytorch

GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.

icc icon icc

Here you can find functions for computing the Intraclasse Correlation Coefficient (ICC) and generating ICC map of textures mesh

kimimaro icon kimimaro

Skeletonize densely labeled 3D image segmentations with TEASAR.

magetbrain icon magetbrain

Multiple Automatically Generated Templates brain segmentation algorithm

mesh_labeler icon mesh_labeler

A GUI program based on vedo and VTK that can annotate mesh models; this project is powered by SOVE Inc.

meshsegnet icon meshsegnet

PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization.

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