I'm just back from the UK where I spent a couple weeks catching up with family and friends. My visit happened to conincide with one of the monthly PyData London events so I attended and gave a lightning talk on image segmentation in medical applications.
They have built a really vibrant community and it was great meeting over 200 data enthusiasts.
The slide deck is available here. Unfortunately there was no video. The content is a more technical version of the presentation I gave at the NIH Pi Day 2017 event where there was video.
At the NIH Pi Day celebration I gave a lightning talk on applying deep learning to histology images. A video of the event is now available at NIH Videocast.
During the one hour event there were presentations on ten different projects. I was the second speaker and began at 8:48.
I am using deep learning to identify glomeruli in kidney biopsies. When we are unsure about the specific type of kidney disease a patient has we take a small biopsy to look at the kidney. It is often differences in the glomeruli that define the type of disease. Pathologists study the biopsy to define the type of kidney disease. These skilled pathologists spend significant time locating the glomeruli. A machine can do this simple step. The pathologist can then focus on the harder disease identification task.