Search Results - computational+imaging+task

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A Data-Driven Approach to Quality Assurance for Imagers (Radiologists) Individually and Imaging Departments as a Whole (Case No. 2014-501)

Summary: UCLA researchers have developed innovative software that streamlines radiological data analysis to enhance patient outcomes, evaluate radiologist performance, and assess AI algorithms in a way that mirrors radiologist decision-making. Background: Radiological imaging is critical to disease diagnosis and treatment planning for a wide array...

Published: 3/7/2025 | Inventor(s): Dieter Enzmann, Corey Arnold, Alex Bui, William Hsu

Keywords(s): 3D tissue imaging, 3D ultrasound imaging, bioimaging, cell imaging, computational imaging, computational imaging task, Imaging, Magnetic Resonance Imaging, Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Pathology, Magnetic Resonance Imaging Spin Polarization, Medical Imaging, Molecular Imaging, multi-contrast imaging, non-invasive imaging, Radiology, Radiology / Radiomitigation, three dimensional imaging

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Digital Health, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems

The Growing Role of Digital Pathology and Machine Learning in Cancer Diagnostics (UCLA Case No. 2021-134)

Summary: Researchers at UCLA's Department of Radiological Sciences have developed an active learning methodology for digital pathology image analysis, addressing challenges posed by inconsistent annotations and revolutionizing the training of diagnostic algorithms. Background: The global digital pathology market is anticipated to experience significant...

Published: 2/14/2025 | Inventor(s): Corey Arnold, Wenyuan Li, Jiayun Li, William Speier

Keywords(s): active learning, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, artificial-intelligent materials, computational imaging task, convolutional networks, curriculum learning, Deep Learning, deep physical neural network, Digital Pathology, dynamic identification, Histopathological image analysis, histopathology images, Image Processing, Magnetic Resonance Imaging Pathology, Medical Devices and Materials, Medical Imaging, noisy annotations, noisy label detection, pathology image analysis

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Electrical > Imaging, Medical Devices > Medical Imaging