Skip to content

virabehnam/CAMELYON16-Breast-Cancer-Detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 

Repository files navigation

This project explores the CAMELYON16 dataset (https://camelyon17.grand-challenge.org/Data/) using OpenSlide (https://openslide.org/) and applies a prediction deep learning model for breast cancer detection.

This dataset includes various zoom levels of breast histopathology slides, which corresponding masks that illustrate where cancer is. The purpose of the project is to create a functional end-to-end prototype with reasonable prediction scores.

Idea inspired by this paper (https://arxiv.org/abs/1703.02442) at Columbia University (2019).

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published