Dr. Rubayat Mahmud, Director of Sales and Business Development at Mobiliya-QuEST, is pleased to showcase how IA-based deep learning can be used to detect the presence of lung nodules in low dose CT scans at the Artificial Intelligence Conference in New York City.
In medical imaging, computer aided detection (CAD) systems are available for detection of tumors and diagnosis of diseases from images acquired by imaging modalities like CT, MRI, X-ray and ultrasound. AI techniques used in computer vision such as object detection and segmentation offer unique possibilities to help radiologists make diagnosis faster and more accurately, leading to prioritization of cases, better patient care, and reduction in cost. When trying to balance accuracy and complexity of the model and real time performance, deployment on Intel® architecture offers an affordable solution. These models can be ported using Intel’s Distribution of OpenVINO toolkit to generate the optimized model to run on Intel processors.
Visit the AI Demo Expo to see how AI Builder Partners can offer artificial intelligence (AI) to their end customers without significantly increasing the cost of the customers’ systems or making modifications to the hardware deployed in the field. See this demo at the Artificial Intelligence Conference in New York City, April 15 – 18, 2019.
Can’t make it to the Artificial Intelligence Conference to see the live demo? We’ve got you covered: