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This is a repository containing code to Paper 3D Dense-Unet for MRI brain tissue segmentation (that hopefully will be) published on TSP 2018 conference.
http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html
Alzheimer disease diagnosis by Deeply Supervised 3D Convolutional Network
A SlidingWindow-Free Accurate and Fast 3D Medical Image Segmentation Framework
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Awesome GAN for Medical Imaging
Using DCGAN for segmenting brain tumors from brain image scans
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
A practical example on how to combine both a CNN and a RNN to classify images.
Data sets and scripts for Coursera Big Data Specialization.
[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking
Deep Learning Papers on Medical Image Analysis
This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf
WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"
A python wrapper for Krähenbühls dense CRF for medical image volumes.
Multi-Scale Context Aggregation by Dilated Convolutions in Keras.
File and Image Management Application for django
An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.
CNN to predict 3d gaze position from eye images. Implemented using Keras.
Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras
Using GANs to improve synthetic data for semantic segmentation problems.
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
关于Python的面试题
Implementation of a 3D Convolutional Neutral Network in Keras on an Alzheimers Disease MRI Scan Dataset
Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.
A very simple DICOM web viewer
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.