This is the 3D Implementation of 《Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation》

Last update: Nov 08, 2022

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Overview

CoraNet

This is the 3D Implementation of 《Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation》

Environment

pytorch 3.7; pytorch 1.1.0; torchvision 0.4.2

DataSets

You can download the dataset from CT-Pancreas. And do the preprocessing with preprocess/pancreas_preprocess.py for CT-Pancreas dataset.

Pretrained Model

The pretrained VNet model on Pancreas-CT dataset can be dowload here

Owner

GitHub Repository

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This is the 3D Implementation of 《Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation》

Related tags

Overview

CoraNet

Environment

DataSets

Pretrained Model

Owner

Official implementation of the paper "AAVAE: Augmentation-AugmentedVariational Autoencoders"

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Official implementation of the paper Chunked Autoregressive GAN for Conditional Waveform Synthesis

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Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)

Code for KDD'20 "An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph"

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Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"

Official Implementation of "Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras"

Generalized Proximal Policy Optimization with Sample Reuse (GePPO)

Tutorial on scikit-learn and IPython for parallel machine learning

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A curated list of awesome game datasets, and tools to artificial intelligence in games