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artifactreduction

Fixed some common artifacts in CT images.

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

cbct_scatter_ccmb

Cone Beam CT Scatter removal project in CancerCare Manitoba

center-line-extraction---steger-hessian

circle-fitting-hyper-fit

(C++) An developed Vision-based Circle Fitting Algorithm, called "Hyper Fit" - fits accurate circles to both complete and largely incomplete circular arcs/objects, in livestream 2D- images

cone-beam-ct-scatter-correction-tool

czyblog

dbscan

An optimized implementation of the DBSCAN algorithm in C++. The grid-based approach is optimized using parallelism, including OpenMP, C++ Concurrency API, and work-stealing technique. AVX instructions are used to optimize floating-point arithmetic operations. The program achieves a 35.89x runtime improvement with 8 threads.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning

some small codes about deep learning

diffpose

[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering

digrams

Draw diagrams

fast-cuda-gpu-dbscan

:star2: CUDA-DClust+: Fast DBSCAN algorithm implemented on CUDA. Based on the research paper.

gpumc

Mirror from google code https://code.google.com/archive/p/mcgpu/

graphcut

Graph Cut Algorithm in CUDA

license-plate-detector

基于Retinaface车牌检测,全新模型仅1.8MB.

mcgpu

GPU-accelerated Monte Carlo x-ray transport code to simulate medical x-ray imaging devices.

monte

openscenegraph

OpenSceneGraph git repository

phantoms-voxelized

voxelized-format phantoms for simulation

poisson-image-editing

Poisson image editing for seamless cloning and other operations

rtk

Reconstruction Toolkit

scikit-learn

scikit-learn: machine learning in Python

sota-medseg

SOTA medical image segmentation methods based on various challenges

spektr

A computational tool for x‐ray spectrum modeling and analysis.

sub-pixel-edge-detect

this project is for searching an image's edge

subpixeledgedetect

An image edge detector is described which produces chained edge points with sub-pixel accuracy.The method incorporates the main ideas of the classic Canny and Devernay algorithms. Theanalysis shows that a slight modification to the original formulation improves the sub-pixelaccuracy of the edge points.

tensorflow

An Open Source Machine Learning Framework for Everyone

victre_mcgpu

Version of MC-GPU used in the VICTRE project