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Medical image segmentation as a method for the preparation of learning data

Medical image segmentation is a seemingly a simple process. A number of factors contribute to achieving high quality end results, including proper preparation of medical input data for segmentation. In this post – as announced in the previous article – we will focus on the preparation of input data, i.e. medical image data for medical[...]
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Ground-truth in a medical machine learning project

Objective, well prepared data is the basis in medical machine learning project. After all, a machine learning model trained on a very good data set produces very good results. This is obvious. But how demanding professional ground-truth preparation is we have found out only recently. In a project where we use machine learning algorithms. Ground-truth[...]
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