Machine learning advances diagnostics and prognostics
Posted 10th February 2021 by Nicholas Noakes
Computerized image analysis can predict cancer outcomes
The advent of digital pathology is offering a unique opportunity to develop computerized image analysis methods to diagnose disease and predict outcomes for cancer patients from histopathology tissue sections. Such advances can help predict the risk of recurrence, disease aggressiveness and long-term survival, according to a leading expert in the field, Professor Anant Madabhushi from Case Western Reserve University in Ohio.
Telepathology for second opinion teleconsultation
Posted 2nd February 2021 by Nicholas Noakes
Speaking at the 2020 Digital Pathology Congress Liron Pantanowiz reviewed why he thought telepathology is the number one application for digital imaging. In this blog, we report what he had to say about telepathology for second opinion teleconsultation.
Telepathology in the acute care setting
Posted 19th January 2021 by Nicholas Noakes
Speaking at the 2020 Digital Pathology Congress Liron Pantanowiz reviewed why he thought telepathology is still one of the key applications for digital imaging. In this blog, we report what he had to say about telepathology in an acute care setting and the importance of validation.
Deep Neural Networks in image processing, predictive modelling and diagnostic decisions
Posted 2nd September 2020 by Liv Sewell
Now more than ever intelligent human beings are needed to fulfil high value and high complexity tasks and histopathology is no exception. In fact, it is one of the sectors in the most desperate need.
How deep learning is transforming medical imaging: image search
Posted 29th July 2020 by Liv Sewell
Five or six years ago, I was looking for a strategic direction for the KIMIA Lab. We started with the problems. We asked, ‘What problems do we have in medical imaging?’
What AI Can and Can’t Do for Digital Pathology Right Now
Posted 15th July 2020 by Liv Sewell
It was fascinating to speak with Hamid Tizhoosh, Professor at the Faculty of Engineering at the University of Waterloo in Canada, Director of KIMIA Lab and keynote speaker at the 6th Digital Pathology & AI Congress: USA, about using AI to transform what is possible in medical imaging.
Digital pathology: From over-promising to a reality check
Posted 17th June 2020 by Liv Sewell
Almost five years ago, the plan to implement a wide-ranging digital pathology approach across the Netherlands began to take shape. As more labs across the country acquire digital pathology capability, with steps to create a strong and accessible image repository and a national image exchange platform, one of the project leaders, Professor Katrien Grünberg, offered an update and spoke of some challenges that still lie ahead.
imCMS: The door to simple, cheap, reliable bio-stratification
Posted 10th June 2020 by Liv Sewell
Bringing molecular and digital pathology closer together through a more integrative approach can lead to clear advantages for diagnostic and research workflows.