neuwangmeng
BME master from Northeastern university, Now he is a software engineering phd candidate. His reasearch includes medical image analysis, CV and deep learning。
Shenyang China
Pinned Repositories
3D-FCR-alphaGAN
Fully Convolutional Refined Auto Encoding Generative Adversarial Networks for 3D Multi Object Scenes
Augmentor
Image augmentation library in Python for machine learning.
dicom2nifti
K3D-jupyter
Keras_Jupyter_Notebooks
Linear-Spectral-Clustering-Superpixel-Segmentation-Algorithm_Python
Python implementation of LSC algo, (C) Zhengqin Li, Jiansheng Chen, 2014
pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
tensorflow-GAN4Segmentation
raw code！
zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
neuwangmeng's Repositories
neuwangmeng/convert-bibtex
Conversions and cite key generation for BibTeX files
neuwangmeng/Graph-Cut
Graph-cut Image Segmentation ---------------------------- Implements Boykov/Kolmogorov’s Max-Flow/Min-Cut algorithm for computer vision problems. Two gray-scale images have been used to test the system for image segmentation (foreground/background segmentation) problem. Steps: 1. defined the graph structure and unary and pairwise terms. For graph structure, i have used available packages/libraries such as PyMaxflow. 2. likelihood function for background and foreground has been generated. 3. General energy function consisting of unary and pairwise energy functionals have been written. 4. Likelihood maps (intensity map ranging from 0 to 1) for foreground and background have been displayed. 5. Use Boykov/Kolmogorov maxflow / mincut approach for solving the energy minimization problem. 6. Final segmentation have been displayed. Created an image for which the background pixels are red, and the foreground pixels have the color of the input image. Relevant paper can be found here: http://www.csd.uwo.ca/~yuri/Papers/pami04.pdf
neuwangmeng/growcut
Python implementation of the growcut algorithm.
neuwangmeng/Medical-Image-Analysis-IPython-Tutorials
neuwangmeng/Python-Tutorial-Vamei
A Quick Tutorial of Python
neuwangmeng/SimpleITK-MICCAI-2011-Tutorial
Repo for the SimpleITK tutorial at MICCAI 2011
neuwangmeng/tutorial-vtk-python
Material for teaching vtk python