Skip to content

Find the nuclei in divergent images to advance medical discovery

Notifications You must be signed in to change notification settings

pranaya-mathur/Image-Segmentation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Image-Segmentation

Find the nuclei in divergent images to advance medical discovery Spot Nuclei. Speed Cures.

Imagine speeding up research for almost every disease, from lung cancer and heart disease to rare disorders. The 2018 Data Science Bowl offers our most ambitious mission yet: create an algorithm to automate nucleus detection.

We’ve all seen people suffer from diseases like cancer, heart disease, chronic obstructive pulmonary disease, Alzheimer’s, and diabetes. Many have seen their loved ones pass away. Think how many lives would be transformed if cures came faster.

By automating nucleus detection, you could help unlock cures faster—from rare disorders to the common cold. Want a snapshot about the 2018 Data Science Bowl? View this video.

Alot of the work in this notework was provided by Kjetil Åmdal-SævikKeras who made the "U-Net starter - LB 0.277" the top rated Kernel on Kaggle.
https://www.kaggle.com/keegil/keras-u-net-starter-lb-0-277

About

Find the nuclei in divergent images to advance medical discovery

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published