Improving Brain Tumor Segmentation at the Edge
Intel’s Abhishek Khowala, principal health AI engineer, and Séverine Habert, AI engineering manager, discuss some of the enhancements in brain tumor segmentation for enabling diagnosis.
While most brain tumors are benign, early detection is critical for the best treatment options and outcomes. Assessing a diagnosis starts with MRI 2D and 3D imaging. Segmentation of the brain tumor – or separating the tumor from normal brain tissues – is essential to identifying three key factors to allow doctors to move forward:
- Is the tumor benign or malignant?
- The approximate tumor size and location.
- Plan out the treatment options.
“We need to segment out the tumor from the rest of the tissues around it,” Khowala says. “For that, there is the unit model. And that architecture works with fewer amounts of data yet provides a clearer segmentation result.”
The brain tumor segmentation (BraTS) combined with OpenVINO™ toolkit could optimize MRI results during tumor detection and monitoring. “Since this is something that has to happen worldwide, we need to deploy it at scale,” Khowala explains. Scaling requires overcoming a few challenges. Utilizing OpenVINO erases issues of high-cost GPU required for deploying AI solutions or perceived performance limitations of common frameworks such as PyTorch or TensorFlow. “Brain tumor segmentation is a perfect example of applying the most common architecture and using it for multiple devices from edge to handheld devices,” Habert adds.
For optimized AI, the provided data must be robust, which is not an easy task. According to Khowala, Expert radiologists are required to interpret the MRI images to get to the ground truth data. BraTS helps predict results and compare accuracy with provided ground truth results using the Sørensen–Dice coefficient datasets. Once the data is available, modeling can take place and assist medical professionals in their diagnosis.
Learn more about brain tumor segmentation solutions by connecting with Abhishek Khowala and Séverine Habert on LinkedIn or visit:
https://www.intel.com/content/www/us/en/healthcare-it/healthcare-overview.html.
Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Internet of Things Group.
Latest
Teach For America Reinvention: Culture Transformation and Educator Recruitment
Teach For America (TFA) started with an idea in 1989 by Wendy Kopp. The TFA formally launched in 1990 with a mission to provide all children in America with an excellent education. More than thirty-three years later, TFA is continually improving itself by expanding its network and resources with initiatives like TFA’s Reinvention Lab. […]
‘Everything Everywhere All At Once’ Reminds Scientists and Metaphysicians That Researching the Multiverse Has Important Thematic Fundamentals
The multiverse theory has been the subject of scientific research and philosophical debate for decades. It is a theory that suggests the existence of multiple universes beyond our own, each with its own unique physical laws and properties. Along with the recent phase of the Marvel Cinematic Universe, 2023’s Best Picture-winning film Everything Everywhere All […]
Adapting the SLR Magic of Anamorphic Filmmaking to the Panasonic Lumix Ecosystem Creates Endless Filmmaking Possibilities
The Panasonic Lumix System revolutionized independent filmmaking through the convergence of a handheld DSLR style body, larger than video camera sensors for a narrow depth of field, and the versatility and utility of interchangeable lenses. By being mirrorless and with the use of adapters, a broad gamut of vintage and modern lenses became available for […]
