News

High Performance Computing and deep learning in medicine: Enhancing physicians, helping patients

Published on: 28/02/2018

High Performance Computing and deep learning in medicine: Enhancing physicians, helping patients

Computer-aided diagnosis (CAD) from medical images has been used to help radiologists for many years. But with the use of High Performance Computing and deep learning algorithms for automatic recognition of complicated patterns in magnetic resonance imaging (MRI), computed tomography (CT), or whole-slide histopathology images (WSI), the capabilities of CAD systems have the potential to be significantly improved.

Computers are now, for the first time, matching the performance or even outperforming medical specialists, while also accomplishing the analysis much faster.

Medical Image Analysis (MRI, CT, WSI) are saving lives daily. These techniques are producing an enormous amount of valuable data that needs to be analysed by the physicians that will transform them in diagnosis. But as medical image acquisition methods become more widespread and accessible, the need for radiologists that can interpret an increasing number of images grows as well. For that reason, automated techniques in analysing data are not only very helpful, but are expected to increasingly become the preferred methods to use.

Combining High Performance Computing (HPC) resources with deep learning algorithms could greatly improve the recognition of complicated patterns in MRI, CT, or whole-slide images.  Being able to further develop, optimize, and allow the hospitals and general practitioners to make use of these powerful techniques could have important societal impact by improving the quality of life through more precise and cost effective diagnostics.

The Computational Pathology group of Radboud University Medical Center (Nijmegen, Netherlands) uses High-Performance Computing to enhance their physicians’ diagnostics, providing faster diagnosis and saving more lives.

In the image attached, you can see (left side) an example of colon carcinoma histopathology section stained with Hematoxylin and Eosin (H&E).

On the right side, you can see the result of automatic segmentation (coloring) of multiple tissue types using a deep learning algorithm applied to the digitized image on the left. The algorithm can identify up to 14 different tissue types, which are visualized with different colors according to the color-coding reported in the legend.


Article Source: https://ec.europa.eu/digital-single-market/en/news/high-performance-computing-and-deep-learning-medicine-enhancing-physicians-helping-patients

NEWS​

Related News

GrowFL Recognizes Protean BioDiagnostics, Innovator in Precision Oncology, Among Florida’s Top Companies

13 Mar 2025
The GrowFL Florida Companies to Watch awards spotlight high-growth, second-stage businesses driving Florida’s economy.

Open Market Consultation for the search, incorporation and co-creation of new digital technologies based on digital twins for a personalized approach of congenital and complex pathologies

12 Mar 2025
Check out this Open Market Consultation for the search, incorporation and co-creation of new digital technologies based on digital twins for a persona...

Smart Algorithms vs. Breast Cancer: 14 Teams to Develop AI Solutions for Enhancing Breast Cancer Diagnostics in AI4Health.Cro Challenge

12 Mar 2025
In the news piece, readers will learn about the AI4Health.Cro innovation competition that has attracted 14 talented teams to develop AI tools for impr...

Inside The Digital Health & Wellness Summit 2025 at MWC-4YFN: How ECHAlliance members made an impact

11 Mar 2025
Andy Bleaden shares key takeaways from DHWS25 at 4YFN, where ECHAlliance brought members together, showcased ecosystem innovations, and turned convers...
Featured

ECHAlliance Partners with HealthAI to Advance Responsible AI in Healthcare

11 Mar 2025
ECHAlliance partners with HealthAI - The Global Agency for Responsible AI in Health - to strengthen global AI regulation, offering its members opportu...

Schiltron.io: tech-enabled hardware provider to meet the needs of different health and care environments

10 Mar 2025
Schiltron.io offers a versatile and intelligent portfolio of products and services with a range of smart accessories to meet the needs of different he...

Become a member

Join ECHAlliance to amplify your organisation’s message, grow your networks, connect with innovators and collaborate globally.
 
First name *
Last Name *
Email Address *
Country *
Position *
First name *
Last Name *
Email Address *
Country *
Position *