Medical images often contain hidden details that aren’t visible at first glance. In this episode, we explain how image analysis combined with Bayesian models helps enhance, reconstruct, and interpret medical images. You’ll learn the basics of image analysis, how Bayes’ theorem fits into medical imaging, and why these methods are essential in biostatistics for applications like tumor detection, brain imaging, fMRI analysis, and electron microscopy.

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