https://github.com/manikdeepak/braintumordetection
It is an ML Model for Brain Tumor Detection Using MRI Scan images
https://github.com/manikdeepak/braintumordetection
ai ipynb-jupyter-notebook ml python3
Last synced: 3 months ago
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It is an ML Model for Brain Tumor Detection Using MRI Scan images
- Host: GitHub
- URL: https://github.com/manikdeepak/braintumordetection
- Owner: ManikDeepak
- Created: 2023-04-29T05:55:57.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-04-29T10:50:26.000Z (over 2 years ago)
- Last Synced: 2025-01-12T17:09:14.897Z (10 months ago)
- Topics: ai, ipynb-jupyter-notebook, ml, python3
- Language: Jupyter Notebook
- Homepage: https://colab.research.google.com/drive/1mAJJ5Qr7V5X55FraFSZ42cDUjtEbNkas?usp=sharing
- Size: 511 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# Brain Tumor Detection
We build a classifier to detect the brain tumor (if any) from the MRI scan images. By now it is evident that this is a binary classification problem. Examples of such binary classification problems are Spam or Not spam, Credit card fraud
We will be using the following libraries to help us create the classification model:
* Python
* TensorFlow
* Keras
* Numpy
* Scikit-learn
* Matplotlib
* OpenCV
Download the Dataset from [here](https://www.kaggle.com/datasets/navoneel/brain-mri-images-for-brain-tumor-detection)
## Steps to Develop the Model Using Machine Learning
Our approach to building the classifier is discussed in the steps:
* Perform Exploratory Data Analysis (EDA) on brain tumor dataset
* Build a CNN model
* Train and Evaluate our model on the dataset