The field of medical imaging is witnessing a rapid transformation through the integration of artificial intelligence (AI), particularly in the development ...
Osaka Metropolitan University researchers proposed a geometry-aware framework for automatically removing human noise from TLS ...
Abstract: Medical image segmentation is a critical yet challenging task due to the intricate anatomical structures, low contrast, and high noise levels inherent in medical images. Leveraging the ...
Explore the new agentic loop pipeline using Gemma 4 and Falcon Perception for highly accurate, locally hosted image ...
Abstract: Approximate computing has introduced a paradigm shift in hardware-optimized implementation of Edge-AI applications by balancing accuracy and area constraints simultaneously. In this work, a ...
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