Useful CMake Examples

Point Cloud Library (PCL)

Poisson Surface Reconstruction

Arm neon optimization practice

MICCAI 2019 Open Source Papers

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

Keras community contributions

KiTS19——2019 Kidney Tumor Segmentation Challenge

Advanced Normalization Tools (ANTs)

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

📖 作为对《C++ Concurrency in Action - SECOND EDITION》的中文翻译。

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Brain tumor segmentation challenge code

科技爱好者周刊，每周五发布

A curated list of awesome super-resolution resources.

The VTK examples, formerly hosted on media wiki

100-Days-Of-ML-Code中文版

📚 开发者推荐阅读的书籍

Volumetric MRI brain tumor segmentation using autoencoder regularization

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

VTK Testing data cloned from git://vtk.org/VTKData.git - these are used for examples in both PyVista and PVGeo

Paper and implementation of UNet-related model.

Awesome GAN for Medical Imaging

A image registration method using convolutional neural network features.

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

General code to convert a trained keras model into an inference tensorflow model

Tensorflow implementation of the SRGAN algorithm for single image super-resolution