Professor Jin Kyong-hwan's research team of the Department of Electrical Engineering and Computer Science, DGIST (President: Kuk Yang) developed image processing deep learning technology that reduces ...
More than 80 percent of all health system visits include an imaging exam, i making radiology an essential part of diagnostics and healthcare and image quality a cornerstone of medicine. GE HealthCare ...
Researchers have leveraged deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ones, ...
Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...
Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in ...
A camera usually requires a lens system to capture a focused image, and the lensed camera has been the dominant imaging solution for centuries. A lensed camera requires a complex lens system to ...
As deep-learning enhancement evolves, Aiarty helps M43 photographers improve image quality while retaining the ...
The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...
Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.
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