L&T Technology Services Limited announced a collaboration with NVIDIA on November 20, to develop software-defined architectures for endoscopy-focused medical devices, which will improve image quality and product scalability.
According to a press release, the architecture includes an image processing pipeline for noise reduction, edge and contrast enhancement, texture and colour enhancement, and speckle correction. This new technology addresses the industry-wide concerns of availability, cost, and dependency associated with custom and proprietary hardware components.
Its incorporation of AI/ML models built for the detection, identification, and categorization of polyps - abnormal growths commonly observed during colonoscopies - differentiates it. The system has an easy-to-use interface and seamless integration of the image processing pipeline for visualisation. It claims to provide low-latency data transfer, improved picture processing without performance constraints, and scalability.
“Our collaboration with NVIDIA helps us push the boundaries of what’s possible in medical imaging,” said Amit Chadha, CEO and Managing Director, L&T Technology Services. “The combination of the NVIDIA Holoscan software platform for edge AI inference and the NVIDIA IGX Orin hardware platform accelerates the development of AI-powered medical imaging solutions by enhancing image quality and real-time clinical decision-making support, making clinicians more efficient and improving patient outcomes.”
The partnership makes use of the NVIDIA Holoscan and NVIDIA IGX Orin platforms, which have ultra-low latency in data transport, improved image processing, and scalability to support a variety of AI-enabled applications. This contributes to improved image processing visualisation and AI-based decision-making support, such as polyp identification and categorisation.
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