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Code for MICCAI 2017 paper
This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.
Adaptive local fitting based active contour model for medical image segmentation
Applied Deep Learning with Python, published by Packt
Homepage for STAT 157 at UC Berkeley
Brain tumor segmentation for MICCAI 2017 BraTS challenge
The ‘Breast-Lesion-Segmentation’ aims to provide BUS segmentation-related codes for further studies. ALL of them are used just for research, but not for commerce. And the web is updating consistently. If you have any questions, do not hesitate to contact us! (E-mail: [email protected], Zhenyuan Ning; or [email protected], Yu Zhang)
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network
MATLAB implementation to segment breast lesions in ultrasound images (ICIAR 2016)
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Visualisation of the Circle of Willis
Rank first in Medical Segmentation Decathlon (MSD) Competition.
使用Verilog实现的CNN模块,可以方便的在FPGA项目中使用
Source code for Kristiadi and Pranowo, 2017's "Deep Convolutional Level Set Method for Image Segmentation"
CNN acceleration on virtex-7 FPGA with verilog HDL
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
斯坦福数值分析公开课的学习资料
Curvature Filters are efficient solvers for Variational Models
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Data Analysis and Modeling Ipython Notebook Examples
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation
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.