The dataset provided by Kaggle contains 4 classes: glioma, meningioma, pituitary and no tumor. The custom neural network contains 22 layers and uses tensorflow for its implementation. Currently, the model yields an approximate accuracy of 45%.
Note: data is in the process of being augmented.
Example data visualization below:
Figure 1: MRI Showing glioma tumor.
-
Notifications
You must be signed in to change notification settings - Fork 0
License
hudsonhu22/Brain-Tumor-MRI-Classification
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published