Brain Stroke Detection using CT or MRI Scan

Project Code :TCMAPY818


The main aim of the project is to detect the stroke in the brain by training the CT and MRI images using deep learning techniques.


For the last few decades, machine learning is used to analyse medical dataset. Recently, deep learning technology gaining success in many domains including computer vision, image recognition, natural language processing and especially in medical field of radiology. This project attempts to diagnose brain stroke from MRI using CNN and deep learning models. The proposed methodology is to classify brain stroke MRI images into normal and abnormal images. In particular, three types of convolutional neural network that are ResNet, MobileNet and VGG16 are used. For classification, we passed pre-processed stroke MRI for training, trained all layers and classify normal and abnormal patient. Then this abnormal patient data stored into two-dimensional array and passed this to get result. The experimental result show that classification model achieves best accuracy. Through experimental results, we found that deep learning models not only used in non-medical images but also give accurate result on medical image diagnosis, especially in brain stroke detection.

Keywords: Brain stroke, deep learning, convolutional neural network.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram



  • Processor  : I3/Intel Processor
  • RAM : 4GB (min)
  • Hard Disk: 128 GB
  •  Key Board: Standard Windows Keyboard
  •  Mouse : Two or Three Button Mouse
  • Monitor: Any


  • Operating System                   : Windows 7+            
  • Server-side Script                   : Python 3.6+
  • IDE                                         : Colab
  •  Libraries Used                        : Pandas, Numpy, Scikitlearn, tensorflow, nltk.

Learning Outcomes

·        About Python.

·        About PyCharm.

·        About Pandas.

·        About Numpy.

·        About HTML.

·        About CSS.

·        About JavaScript.

·        About Database.

·        About Deep Learning.

·        About Artificial Intelligent.

·        About how to use the libraries.

·        Cloud Overview.

·        Terminology of cloud.

·        Virtualization.

·        About how to create the registration table in sql.

Demo Video

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