Categories radiology

6 posts

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It’s a no-brainer! Deep learning for brain MR images

Written by Atli Kosson and Henrik Marklund Finding cats and dogs in pictures using deep learning is easy! Finding tumors and lesion in the brain using deep learning is harder, but we are getting there. When planning the treatment and tracking the progression of various brain diseases, locating the exact regions affected […]

It’s a no-brainer! Deep learning for brain MR images

Written by Atli Kosson and Henrik Marklund Finding cats and dogs in pictures using deep learning is easy! Finding tumors and lesion in the brain using deep learning is harder, but we are getting there. When planning the treatment and tracking the progression of various brain diseases, locating the exact regions affected […]

Are computers better than doctors ?

Are computers better than doctors ? Will the computer see you now ? What we learnt from the ChexNet paper for pneumonia diagnosis … Written by Judy Gichoya & Stephen Borstelmann MD In December 2017 , we (radiologists both in training, staff radiologists and AI practitioners) discussed our role as knowledge experts in world […]

Using machine learning to build a conversational radiology assistant for Google Home

Introduction I have been excited about conversational agents for some time, previously building an iOS chatbot simulating a human radiologist powered by Watson. As a delightful weekend project, I sat down with my glorious corgi and lots of coffee and built a radiology assistant for Google Home. It is designed to […]

Why AI will not replace radiologists

In late 2016 Prof Geoffrey Hinton, the godfather of neural networks, said that it’s “quite obvious that we should stop training radiologists” as image perception algorithms are very soon going to be demonstrably better than humans. Radiologists are, he said, “the coyote already over the edge of the cliff who […]

Where we’re going, we won’t need real images — Q4 papers

After my first post on medical image segmentation papers (here’s the link), I worked on an update with mostly Q4 papers, based on Google Scholar research and arXiv CS surfing. I hope it’ll be useful to you! A Survey on Deep Learning in Medical Image Analysis, Litjens et al. This has […]