Brain tumor detection using Convolution-Neural Network (CNN)

assia

Last update: Feb 7, 2022

Related tags

Deep Learning BrainTumor-Detection

Overview

Project: Brain tumor detection

Overview

Detect and Classify Brain Tumor using CNN. A system performing detection and classification by using Deep Learning Algorithms using Convolution-Neural Network (CNN). The dataset contains 3 folders: yes, no and pred which contains 3060 Brain MRI (Magnetic resonance imaging) Images. The link of the dataset from kaggle : Download

Dependencies / Frameworks

This project requires Python 3.8 or 3.9 and the following Python libraries installed:

OpenCV-python
Keras
TensorFlow
scikit-learn
Matplotlib, seaborn and PIL
Pandas & numpy
Flask (For the Web APP)

Results:

1. Loss & Accuracy curves:

Accuracy:

Loss

2. Evaluation of train and test data:

3. Confusion Matrix:

Test Result from Flask APP

The web app page:

1. Brain without Tumor:

2. Brain with Tumor:

Credits

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Owner

assia

GitHub

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Brain tumor detection using Convolution-Neural Network (CNN)

Related tags

Overview

Project: Brain tumor detection

Overview

Dependencies / Frameworks

Results:

1. Loss & Accuracy curves:

2. Evaluation of train and test data:

3. Confusion Matrix:

Test Result from Flask APP

The web app page:

1. Brain without Tumor:

2. Brain with Tumor:

Credits

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