Reviewing the results of an image based experiment, across many images, can be annoying in matlab. Too much clicking!
I’ve recently started using PowerPoint to view many of my results. This blog posts discuss how using the free export to PowerPoint toolbox it is possible to create a slide desk with all relevant information for easier viewing. It looks like this:
Continue reading Exporting from Matlab To PowerPoint
One of the perks of working at Case Western Reserve is that we often qualify for access to cutting edge resource and special projects. In this case, since our digital histology deep learning work requires a large number of GPUs to analyze thousands of patients, we were granted access to the OSC Ruby cluster, which has 20 NVIDIA Tesla K40 GPUs. Since the cluster has only recently been setup, there was some leg work required on our end to get Caffe fully up and running, without root access, which we’ll document here.
Continue reading Installing Caffe on the Ohio Super Computing (OSC) Ruby Cluster
Annotations which stay solely in Bisque aren’t incredibly useful. One of the main reasons for marking up images is to be able to use those annotations for some other purpose, such as training classifiers, computing metrics and features. In this post, we show how to take the annotations from bisque via REST, and convert them into binary masks in matlab.
Continue reading Exporting Bisque Gobjects/Annotations as Binary Masks into Matlab
Once we have images uploaded to Bisque, we might want to be able to overlay annotations on top of them so that users can interact with them. This post quickly goes through the conversation of a binary mask, in matlab, into an XML which can later be imported into Bisque.
Continue reading Created Bisque XML from Matlab Binary Masks
Assuming we have the necessary files on our Bisque server (perhaps uploaded with our script), and we have a set of bisque compliant XML annotations (perhaps generated with our script), we would like to upload them to the Bisque server so that they can be evaluated or modified. That is what this post is about
Continue reading Uploading Bisque XML via Python
In this blog post, we discuss how to quickly upload a dataset to Bisque using python. The next blog post will then talk about how to convert binary masks (made in matlab) to annotations usable by Bisque for validation or modification.
Continue reading Uploading Files to Bisque via Python
In the previous post we discussed how to export annotations from a Ventana Image Viewer program and create binary masks. Now we explain how to do the opposite and import the mask back into Image Viewer.
Continue reading Import Annotations from Matlab into BigTiff XML (Ventana)
Previously we looked at extracting annotations from Aperio Svs files. There are other image formats and annotation tools. Another commonly used tool in digital histology is ImageViewer, which makes it possible to view multi-page BigTiff image files.
Continue reading Extract Annotations From ImageViewer Bigtiff xml into Matlab
There are often times when we want to see the boundaries of an annotation overlaid on an image for easier inspection. Using the ‘AlphaData’ layer in matlab this becomes extremely easy and efficient.
Continue reading Overlaying Binary Masks on Images in Matlab
One of the main purposes of having a digital format is to allow experts (e.g., pathologists) to annotate certain structures in the images. Be it nuclei, epithelium/stroma regions, tumor/non-tumor tissue etc. This is easily done with ImageScope and SVS files, but the trick is importing them into Matlab.
Continue reading Working with Aperio SVS files in Matlab – Converting Annotations to Binary Masks