Tag Archives: results

Using QuPath To Help Identify An Optimal Threshold For A Deep Or Machine Learning Classifier

Digital pathology projects often require assigning a class to cells/objects. For example, you may have a segmentation of cells/glomeruli/tubules and want to identify the ones which are lymphocytes/sclerotic/distal. This classification process can be done using machine or deep learning classifiers by supplying the object of question and receiving an output score which indicates the likelihood that that particular object is of that particular type.

This blog post will demonstrate an efficient way of using QuPath to help find the ideal likelihood threshold for your classifier.

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Computationally creating a PowerPoint presentation of experimental results using Python

This post is an update of the previous post, which discussed how to create a powerpoint slide desk with results using Matlab. In the last couple of years, we have mostly transitioned to python for our digital pathology image analysis, in particular those tasks which employ deep learning. It thus makes sense to port our tools over as well. In this case, we’ll be looking at building powerpoint slide desks using python.

Let’s look at what we want as our final output:

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