FAU Lecture Notes in Pattern Recognition
On Hidden Biases in MRI Segmentation
An applied Example for the EM Algorithm
These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!
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Welcome back to pattern recognition. Today we want to talk a bit about applications of the EM algorithm and I want to show one example from medical imaging where you can see how sophisticated those algorithms can get. I think that it will be very interesting for you to see how many additional steps we can actually model with this EM algorithm.
So let’s have a look at the slides that I have for you. So this is adaptive segmentation of MRI data and note that what I’m showing to you today…
