LondonR Talks – Computer Vision Classification – Turning a Kaggle example into a clinical decision making tool

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I had the pleasure of speaking at the last LondonR event of 2020. What a strange year it has been? But this put the icing on the cake.

The premise

The premise of my talk was to take a novel Kaggle parasite cell dataset and advocate how this type of classification task could be transported to other areas such as clinical x-ray scanning, diagnostic image condition detection, etc.

The live event

To view the talk, have a look at the LondonR event below. I was on first and then two very interesting talks followed from Gwynn Sturdevant – FasteR coding: vectorizing computations in R and Stuart Lodge – Raindrops on roses and whiskers on kittens – a few small things that make me a happy R developer:

Gary Hutson @ London R Event, plus others

Where to get the content

The presentations from the session here. The GitHub code for the convolutional neural network can be found by clicking the GitHub button:

I have written a tutorial about this in my previous blog: https://hutsons-hacks.info/nhs-r-community-lightening-talk-computer-vision-classification-how-it-can-aid-clinicians-malaria-cell-case-study-with-r.

New additions

This presentation had two new addition, on top of what was presented recently at an NHS-R Community Conference event.

Face Mask Detector

The two new additions, delved into how computer vision classification can be used with localisation (bounding box) detection to create novel ideas such as a Face Mask Detector:

Computer Vision Classification with FaceNet bounding box localisation

Facial recognition

The Mango team were used, as an example, of how facial regonition – specifically the YOLO framework, can be used to detect faces in Python:

MangoTeamFacialRecognition
Mango GIF with YOLO face detection

The code, for this Python file, is also contained in the LondonR file.

Enough of my ramble

This was a really fun experience and I would urge anyone with an R based project to sign up for LondonR. The hosts Mango are great and you will be treated to a feast of discussions, as well as really friendly people to boot.

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