Brain Tumor Detection Using CNN with Python Keras and Tensorflow

Brain Tumor Detection Using CNN with Python keras and Tensorflow

In this video I have made a demo regarding Brain Tumor Detection Using CNN with Python keras and Tensorflow.
Brain Tumor is a very rare condition that very few people usually affected by it. Of any aging brain tumors can occur It usually occurs in fifth or sixth decades of the patients i.e. after fifty years. To improve human judgement in diagnosis advent of new technology into health care can be witnessed. An entrance of computer vision into diagnosis would reduce human error in judgment. For example examining MRI results for brain related ailments requires extremely high concentration and wrong judgement would be catastrophic. The MRI scans are capable of identifying even the smallest aberrations in the human body. Here we train a model to specifically identify these tiny aberrations from MRIs and predict presence of a tumor with high accuracy. Convolutional Neural Network (CNN) is one of the most effective techniques for this problem statement. Thus using image preprocessing and deep learning using keras and tensorflow we built a highly reliant and robust model to solve this problem.

The source code of this work is found at this link:
https://rarekindphdsolutions.blogspot.com/2021/02/brain-tumor-detection-using-cnn-with.html

Timestamps:
00:00 - Intro
00:05 - import python libraries
00:10 - image pre-processing python
01:30 - CNN python code
09:01 - Thank you for watching..

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