Building an ML Cancer Segmentation API in 15 Minutes

Explore the process of building and deploying a machine learning Cancer Segmentation API using Python, TensorFlow, FastAPI, and Heroku in just 15 minutes. Learn how to create a powerful tool for medical image analysis that can potentially aid in cancer detection. Follow along as the instructor guides you through the steps of developing the API, from setting up the environment to deploying the final product. Gain insights into the challenges and solutions encountered during this time-constrained project, and discover how to leverage popular frameworks and platforms for efficient machine learning development. Access the provided code repository to further examine the implementation details and potentially adapt the project for your own use. Connect with the instructor through various social media platforms for additional support and to join a community of like-minded developers interested in machine learning applications in healthcare.

I tried building an ML Cancer Segmentation API in 15 Minutes