As demand for radiology services continues to increase, the key to providing fast, accurate patient diagnoses lies with the digitisation of radiology.
Like many other specialities in the field of medicine, cardiology is becoming increasingly digitalised. Consequently, it is also enjoying many of the benefits that AI can bring to the discipline.
Technological developments in the field of digital pathology have made it easier to store, view and organise medical images. It’s also easier to engage and collaborate with other professionals, as well as quickly seek second opinions from other clinicians.
Recently we’ve been exploring different ways to extract features from images using unsupervised machine learning techniques. Typically when wanting to get into
When making a cross-site request to an API application such as a Flask application, often there are a few roadblocks.
At Zegami we are working hard to make the ultimate experience for browsing large collections of images and visual data.
Here at Zegami we wanted to make the installation process as painless as possible for any end user of our