Brain tumor detection using Convolution-Neural Network (CNN)

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:

accuracy

  • Loss

loss

2. Evaluation of train and test data:

Evaluation

3. Confusion Matrix:

cm

Test Result from Flask APP

The web app page:

app

1. Brain without Tumor:

tumorYes

2. Brain with Tumor:

tumorNO

Credits

  1. Stackoverflow
  2. Kaggle
  3. Krish naik youtube channel
Owner
assia
assia
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