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

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

An executor that performs image segmentation on fashion items

Code for "Adversarial Attack Generation Empowered by Min-Max Optimization", NeurIPS 2021

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

History Aware Multimodal Transformer for Vision-and-Language Navigation

Collective Multi-type Entity Alignment Between Knowledge Graphs (WWW'20)

This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP

Code for project: "Learning to Minimize Remainder in Supervised Learning".

Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

Creating a custom CNN hypertunned architeture for the Fashion MNIST dataset with Python, Keras and Tensorflow.

Jax/Flax implementation of Variational-DiffWave.

Time Dependent DFT in Tamm-Dancoff Approximation

text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.

Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation

Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators

PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices.

ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs

A tool for making map images from OpenTTD save games

Automated Attendance Project Using Face Recognition

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation