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Canopus is a software kit that we built with machine learning programs and deep learning algorithms. It captures physical raw images and removes unwanted image noise to detect cancer with improved accuracy.

Business Overview

The Challenge

Our Approach

We broke down the cancer-detecting process into three essential parts. They are pre-processing, image segmentation and post-processing.

Pre-processing deals with removing noise from the image captured. Image segmentation deals with further processing of the image to separate Region of Interest (ROI) from the unwanted image background. Post-processing deals with grabbing the labeled features of cancer to detect them precisely.

USP of our Project

Project Highlights

Results – A journey from Ideas to Success

Technologies we used