GithubHelp home page GithubHelp logo

josedolz / hyperdensenet Goto Github PK

View Code? Open in Web Editor NEW
147.0 11.0 41.0 840 KB

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

License: MIT License

Python 100.00%
cnn fcn 3d-cnn convolutional-neural-networks hyperdensenet medical-image-processing segmentation image-segmentation deep-learning deep-neural-networks

hyperdensenet's People

Contributors

josedolz avatar

Stargazers

avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar

Watchers

avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar

Forkers

hjmjohnson alexshakouri charan223 morindaz oucandrewlee eong2012 shannonz yxiao009 mahmud83 mingdingzhiai cnbp banctilrobitaille bostonmeditechgroup hongpanlab medical-images-process xiaochengcike lxmwust qianshuqinghan yangsenwxy mismabs eoj-uam ross201601 wxiaoman a3sha2 wulingtian junhua-zhang fdsjk balakrishnanvinchu iliasprc mmon8716 iact-medical-image-processing sailfish009 echo-wu151 wanwanliang ricardozitseng saqibmamoon chan-make buiduylinh87 srinidhipy gasperpodobnik bethhhh

hyperdensenet's Issues

Questions about data sets

Hello, thank you very much for the disclosure of your code.
Because I am a student and do not have a team email, I cannot download the data sets. Can you send me the data set?If possible, you can send it to this email number: [email protected] ,Thank you very much. Looking forward to your reply!

What is the BatchNormEpochs

Hello

I am reading the paper about HyperDenseNet and its codes.

My question is the role of BatchNormEpochs.

What does the number of BatchNormEpochs mean?

About feature concatenation

Hi @josedolz, Thanks for the codes. I may miss something but am wondering, how the feature maps with different shapes are concatenated, since no padding was used? Did you crop them? Thanks.

When will the code be available?

Dear Jose Dolz,
Thanks for your excellent work, it is great and insightful!
Would it be possible for you to tell me when the code can be available?

Looking forward to your reply.
Edward

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.