Developing ML based classification models for detecting cancerous regions in medical images.
The project aims to develop various classifiers using machine learning approaches such as Convolutional neural networks (CNN). The key purpose is to accurately identify cancerous regions in medical images. The models could be used as a supporting tool for consulting medical practitioners. The ideal candidate would have strong computing and mathematical backgrounds with excellent programming skills. Expertise in ML, classification, image processing, Python, Tensorlow would be a plus.