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3d-airway-segmentation

3D airway segmentation method

3d-connect-component-label-with-gpu

This is my 3D parallel algorithm, but it is not perfect. It provides a way for you to optimize it. I hope someone can give a good opinion

3d-route-planning

三维航迹规划 -Matlab

3d-surface-to-surface-fusion-

ICP and transfer point data scalars between two VTK surfaces

3d_icp

3dterra

The 3D cooperaTive ExploRation Routing Algorithm (3DTERRA) has been designed to solve the ECU-CSURP in three dimensions.

airway-anomaly-detection-by-prototype-based-graph-neural-network

asift_lib

Affine Scale Invariante Feature Transformation lib adaptation

bronchial-detection-deep-learning

Deep Learning for Improved Bronchial Tree Segmentation in CT Images

bronchinet

Airway segmentation from chest CTs using deep Convolutional Neural Networks

cissticp

Source code and data for registration algorithms developed within the Most-Likely Point and Deformable Most-Likely Point paradigms

computer-graphics-notes

记录图形学开发内容，学习过程中的总结和记录，包括OpenGL、Shader等，保持更新ing。

contourtosurfaceregistration

Registration between 2D contour and a 3D image based on ITK

ct_lung_segmentation

Robust segmentation of lung and airway in CT scans

custusx

Research Platform for Image-Guided Therapy

deepreg

Medical image registration using deep learning

densedescriptorlearning-pytorch

Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)

densereconstruction-pytorch

Official Repo for the paper "Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal Assessment" (MICCAI 2020)

dfanet

reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

endoscopydepthestimation-pytorch

Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)

endoslam

EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

examples

Learning Qt, OpenCV, ITK, VTK, IGSTK and more...

fast

A framework for GPU based high-performance medical image processing and visualization

fast-example-project

fast-pathology

⚡ Open-source software for deep learning-based digital pathology

faster-rcnn-trtint8

Faster-RCNN, tensorRT, INT8 model

fpga_caffe

fraxinus

gpu-marching-cubes

A GPU implementation of the Marching Cubes algorithm for extracting surfaces from volumes using OpenCL and OpenGL

graph_refinement

This is official Pytorch implementation of "Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks", Raghavendra Selvan et al. 2020