Skip to content

Brain tumor classification using normal cnn . The code here is completely basic and shows how to get an accuracy also how to classify a certain data.

Notifications You must be signed in to change notification settings

Abir0606/Brain-Tumor-Classification-using-CNN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Brain-Tumor-Classification-using-CNN

How to load the datset :

-> Go to kaggle.com and open an account -> Go to setting and Create a new Token -> A kaggle.json file will be downloaded into your designated folder. -> Upload the .json file into google colab. And run !cp kaggle.json ~/.kaggle/ -> Then go to the dataset on kaggle , Link : https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri -> Copy API command from clicking on the three dots on the right of the screen. -> Paste the api commad on tou Google Colab Cell. !kaggle datasets download -d sartajbhuvaji/brain-tumor-classification-mri -> After that follow the given code to run a CNN on classifying brain tumor.

I used a basic cnn architecture to classify betwwn Glioma, Meningioma, NoTumor and Pituitary. You can tweak as much as you can with the code and dataset given. Maybe even have better result.

About

Brain tumor classification using normal cnn . The code here is completely basic and shows how to get an accuracy also how to classify a certain data.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published