An entry-level resource for Data Science in Radiology
This site is free and specifically designed for radiology residents (and fellows) interested in learning Python for Data Science. It was inspired by my own learning experience, my experience helping my co-residents, and a desire expressed by a number of participants in the Fall 2018 session of the National Imaging Informatics Course.
There are numerous sites and tutorials that introduce interested parties to the tools I’ll cover on this site. As I’m not in the business of reinventing the wheel unnecessarily, I will routinely link/refer to other sites and tutorials, when appropriate. However, my experience has been that many of these cover a variety of topics that may not be relevant for people specifically interested in learning data science techniques for Radiology machine learning research. Thus, I will also generate some original content and tutorials more germane to this line of inquiry.
Eventually, I intend to open-source this site so that others with experience (or even expertise) in this arena may contribute and help make this better for everyone. That is why this site is hosted via GitHub.
If, at any point, you read something that is unclear or run into insurmountable errors not alleviated by duly rigorous searching on Google and/or StackOverflow… then, by all means, please feel free to email me at walter.wiggins@duke.edu. However, the more effective (and, let’s be honest, tech savvy) method would be to submit an Issue on the GitHub repo for this site (click the green button at the top of the screen, then navigate to the Issues tab and gripe away). The second option requires that you already have or are willing to create an account on GitHub. As such, either option is acceptable, but my responses to asynchronous communication methods (e.g. email, texts) are notoriously slow. If you don’t believe me, just ask my wife…
Happy coding! Walter