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Search Results - jiayun+li
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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: 8/9/2023
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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
Multi-Resolution Model With Attention for Whole Slide Image Analysis Trained Using Weak Labels (UCLA Case No. 2019-943)
Summary: UCLA Researchers in the Department of Radiology have developed a computer-aided diagnostic model that uses histology slides to interpret and detect prostate cancer diagnoses with high levels of accuracy. Background: In the United States, prostate cancer ranks as the most prevalent and second deadliest cancer among men. Diagnosing this...
Published: 7/10/2024
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Inventor(s):
Corey Arnold
,
Jiayun Li
,
William Speier
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
Artificial Neural Network
,
Digital Health
,
Digital Holography
,
Digital immunohistology
,
Digital Pathology
,
Machine Learning
,
Magnetic Resonance Imaging Pathology
,
MRI
Category(s):
Software & Algorithms
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Diagnostic Markers
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Medical Imaging > MRI
,
Optics & Photonics
2016-409 Fluid Manipulation by Electrodewetting
Summary: UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a novel method that allows the manipulation of liquid droplets on a surface. Background: Electrode wetting on dielectric (EWOD) is a well-known effect that involves application of electric field to move or modify a fluid droplet. It is most commonly...
Published: 10/3/2023
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Inventor(s):
Chang-Jin Kim
,
Jia Li
Keywords(s):
Microfluidics And Mem's
Category(s):
Life Science Research Tools > Microfluidics And Mems