Skip to content

Exploratory study and machine learning analysis on the MURA dataset using Python. Focused on medical image classification and model evaluation. Contribution to an existing study with the possibility of publishing a scientific article

License

Notifications You must be signed in to change notification settings

lucaeva03/Study_on_the_MURA_Dataset

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Study_on_the_MURA_Dataset---Machine_Learning_Python

Exploratory study and machine learning analysis on the MURA dataset using Python. Focused on medical image classification and model evaluation. Contribution to an existing study with the possibility of publishing a scientific article

Note: files train_data_cache.pkl, train_data_cache_no_normalizzazione.pkl, valid_data_cache.pkl and valid_data_cache_no_normalizzazione.pkl should be regenerated via code execution because it exceeds the size allowed by GitHub Free

Dataset

The MURA dataset is not included in this repository.
You must request access and download it directly from the official source: 🔗 https://stanfordmlgroup.github.io/competitions/mura/

Note: The dataset is licensed for non-commercial, research use only. Please respect the terms set by Stanford University.

License

This project is licensed under the GNU General Public License v3.0.
You are free to use, modify, and redistribute the code, provided you keep it under the same license. 🔗 View full license

About

Exploratory study and machine learning analysis on the MURA dataset using Python. Focused on medical image classification and model evaluation. Contribution to an existing study with the possibility of publishing a scientific article

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages