Skip to content
This repository has been archived by the owner on Dec 7, 2019. It is now read-only.

semantic image segmentation networks implemented in tensorflow

Notifications You must be signed in to change notification settings

desimone/segmentation-models

Repository files navigation

Summary

⚠️ Work in progress ⚠️

A collection of semantic image segmentation models implemented in TensorFlow. Contains data-loaders for the generic and medical benchmark datasets.

Hopefully this project will enable researchers to spend less time scaffolding and more time building.

Datasets & Benchmarks

Generic

Medical

  • MICCAI - Brain Tumor Image Segmentation Challenge (BRATS)
  • MICCAI - Ischemic Stroke Lesion Segmentation (ISLES)

Networks & Models

Generic

Medical

Usage

See ./scipts/

Requirements

Resources

Learn

  1. TensorFlow Deep Learning Course Get hands on right away with tensorflow and deep learning.
  2. Machine Learning, Andrew Ng Deeper dive into basics, less hands .
  3. Stanford CS231n videos I can't overstate how fantastic the notes, and videos are.
  4. Deep Learning : Book Helpful reference for filling in gaps.
  5. Above papers, starting with Fully Convolutional Networks for Semantic Segmentation and video

Code

Contributing

Please do. PEP-8, google style with 2 space idents 🤦️.

About

semantic image segmentation networks implemented in tensorflow

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published