An Offbeat Approach to Brain Tumor Classification using Computer Vision

Author(s): Navoneel Chakrabarty

Originally published on Towards AI.

navoneel1092283/Brain_Tumor_Detection_HybridCNN-SVM_Weights

Computer Vision plays a very crucial role in the field of Medical Science and this study of Applied Computer Vision in Medical Science is broadly known as Medical Imaging. Now, Computer Vision is achieved either by deploying Machine Learning or Deep Learning methodologies or both (hybrid) into production.

In this article, I am going to throw light on one such Machine Learning Methodology that uses a Deep Learning Block making it a Hybrid Model for Brain Tumor Classification.

Hybrid Model Development for Brain Tumor Classification

The Dataset: Brain MRI Images Dataset available in Kaggle, is used for Model Development (download). The dataset contains… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI