Skip to content

This project aims to classify breast cancer into one of eight subtypes based on the BreakHist dataset that contains around 8000 images using transfer learning techniques, Squeeze-and-Excite attention mechanism, and Grad-Cam interpretability analysis.

Notifications You must be signed in to change notification settings

ahmedhesham47/BreakHis-DL-Image-Classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

Deep-Learning-Classification-of-Breast-Cancer-Subtypes-Based-on-Histopathological-Image-Data

This project aims to classify breast cancer into one of eight subtypes based on the BreakHist dataset that contains around 8000 images using transfer learning techniques, Squeeze-and-Excite attention mechanism, and Grad-Cam interpretability analysis.

About

This project aims to classify breast cancer into one of eight subtypes based on the BreakHist dataset that contains around 8000 images using transfer learning techniques, Squeeze-and-Excite attention mechanism, and Grad-Cam interpretability analysis.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published