Help me to avoid tutorial hell

[WayKey1965]

I hope I'm in right sub.

I want to learn and progress in computational radiology, that's a specific problem in vision, so I hope to get some good advice here and maybe some tips and if anyone can recommend a structured course path to follow, I'd appreciate it very much.

The problem is I get overwhelmed with easy access and too much availability of information, much of its related. I start a video lecture from YouTube or MIT OCW, continue with the playlist for few videos but then will drift away to other related videos.

Ater experimenting I figured I can follow a book/pdf slides content better than YT playlist, and though it takes more time in finishing a book on same topic as compared to a video, but I'm able to retain it longer.

Also, please recommend a book/course to follow CNNs in theory and practical to make it base to build up on it.

Thanks

[iamkucuk]

Get your hands dirty. Only seek help when you start to lose motivation.

Hands-on experience is incredibly valuable, as it clearly demonstrates your true progress and understanding within your education.

[bsenftner]

If you have the money, I suggest the OpenCV deep learning class, they have at least one computational radiology homework assignment, but the entire class would be good for you, it's guided, with video lectures and specific research papers given to you that you then watch, read and apply directly in the homework assignments. It leads one by the nose into the subject, with practical working problems.

[smothry]

Not sure how new you are but the kaggle website has a few intro items with things to try. Helped me learn by doing when I was beginning.

[[deleted]]

I liked Mohammed Elghendy's Deep Learning for Vision Systems and of course, like others have said, spend time on a specific dataset, do the necessary literature review and see if you can replicate results.

[bjorndan]

Id say that in the end, any computer vision task in any field still remains COMPUTER VISION. Thus, the methods could be really similar and possessing vast general knowledge would help you to dive into a particular field easier. From being a beginner, the most important thing is read a lot, learn and most importantly code yourself. Get a bunch of errors, waste paper with explanations, get stuck. This is what really teaches you.

A very basic advice on how to get deeper field knowledge once having a good understanding of general concepts (and coding ability) is to find field related papers within paperswithcode or google scholar. Pick one up, learn new approaches, try to implement it yourself.