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Full Spectrum Computer Vision for Photon Counting CT (Case No. 2024-058)
Summary: Researchers in the Department of Radiological Sciences have developed a machine learning algorithm that processes multispectral photon counting CT data for accurate medical imaging. Background: Photon counting computed tomography (PCCT) is a tremendous engineering advancement, enabling high resolution spectral imaging with myriad applications....
Published: 9/20/2024
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Inventor(s):
Matthew Brown
,
Dieter Enzmann
,
John Hoffman
,
Michael Mcnitt-Gray
Keywords(s):
AI algorithms
,
Algorithm
,
Algorithm Optical Coherence Tomography
,
algorithmic cancer detection
,
Artifical Intelligence (Machine Learning, Data Mining)
,
artificial electromagnetic materials
,
Artificial Intelligence
,
artificial intelligence augmentation
,
Artificial Neural Network
,
Artificial Neural Network Artificial Neuron
,
artificial-intelligent materials
,
Big Data
,
Bladder Cancer
,
blood cancers
,
Brain cancer
,
Breast Cancer
,
Cancer
,
cancer antigen
,
cancer detection
,
Cancer Immunotherapy
,
Cancer stem cells
,
cancer target
,
Computed tomography
,
CT
,
Deep Learning
,
design software
,
Digital Pathology
,
generative artificial intelligence
,
Genetic Algorithm
,
Histopathological image analysis
,
Histopathology
,
histopathology images
,
hyperparameter optimization
,
Image Analysis
,
Image Processing
,
lympathic cancers
,
lymphatic cancer
,
Medical artificial intelligence (AI)
,
Mesenchymal Stem Cell Derived Cancer Cells
,
Orthotopic cancer models
,
Pancreatic cancer
,
pathology image analysis
,
Photon counting computed tomography (PCCT)
,
prostate cancer
,
Radiology
,
Radiology / Radiomitigation
,
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
Category(s):
Software & Algorithms
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
Syringe Stabilization Device for Ultrasound-Guided Procedures (UCLA Case No. 2023-045)
Summary: UCLA researchers in the Department of Surgery have developed a novel, minimally invasive ultra-sounded guided metastatic mouse model and device enabling more secure and precise usage of in-plane ultrasound imaging of needles. Background: Cancer is the second leading cause of death globally and in the United States. Pancreatic cancer remains...
Published: 11/8/2023
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Inventor(s):
Amanda Labora
Keywords(s):
Breast Cancer
,
Cancer
,
cancer detection
,
Cancer Immunotherapy
,
Catheterization
,
In-plane ultrasound
,
Intratumoral drug delivery
,
Metastasis
,
metastatic mouse model
,
Mouse model
,
Orthotopic cancer models
,
Pancreatic cancer
,
Preclinical model development
,
Preclinical surgical innovation
Category(s):
Life Science Research Tools
,
Life Science Research Tools > Animal Imaging
,
Life Science Research Tools > Animal Models
,
Medical Devices > Medical Imaging
,
Therapeutics
,
Therapeutics > Oncology
,
Medical Devices > Medical Imaging > Ultrasound