Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
A new vision platform powered by dual AI engines and advanced imaging tools promises sharper defect detection, faster ...
A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.
Scientists have developed a lens-free mid-infrared camera using a modern twist on pinhole imaging. The system uses nonlinear crystals to convert infrared light into visible, allowing standard sensors ...
Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...
A research team presents XFruitSeg, a deep learning model designed to accurately segment three-dimensional computed tomography (CT) images of plant fruits.
The director of the SPIN Lab, computer science assistant professor Roni Sengupta, said the lab allows students to get ...
In a presentation delivered at the 26th Annual International Lung Cancer Congress, Sandip Patel, MD, discussed the rise of AI-enabled imaging and digital pathology in predicting treatment response, ...
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