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

Codebase to experiment with a hybrid Transformer that combines conditional sequence generation with regression

A modular active learning framework for Python

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline

Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR, 2019)

GE2340 project source code without credentials.

Training a Resilient Q-Network against Observational Interference, Causal Inference Q-Networks

Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation

Federated Learning - Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser

A Light in the Dark: Deep Learning Practices for Industrial Computer Vision

OpenAi's gym environment wrapper to vectorize them with Ray

Deep Learning (with PyTorch)

A cool little repl-based simulation written in Python

Implementation of the paper titled "Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees"

Rendering Point Clouds with Compute Shaders

An Evaluation of Generative Adversarial Networks for Collaborative Filtering.

phylotorch-bito is a package providing an interface to BITO for phylotorch

VQGAN+CLIP Colab Notebook with user-friendly interface.

A tutorial on DataFrames.jl prepared for JuliaCon2021