Search Results - image+analysis

11 Results Sort By:
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   |   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
Detection and Identification of Forgeries in Digital Images
yle> A method for detecting and identifying digitally altered images to help detect forgeries to protect the status of digital images as evidence in our lives. Background: Digital visual media has become a principle means of communication. As such this media now represents a common source of evidence in both everyday life and legal matters....
Published: 1/24/2024   |   Inventor(s): Siwei Lyu
Keywords(s): detection, digital image forensics, duplicated region, image analysis
Category(s): Technology Classifications > Information Technology, Campus > University at Albany
Isotropic Generalized Diffusion Tensor MRI
Abstract: Scientists at the Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD) have developed a method implemented as pulse sequences and software to be used with magnetic resonance imaging (MRI) scanners and systems. This technology is available for licensing and commercial development. The method allows for measuring...
Published: 4/8/2024   |   Inventor(s): Alexandru Avram, Peter Basser
Keywords(s): ADC, Basser, Central Nervous System, CNS, diffusion, Diffusion Weighted Images, Distribution, DWI, Fetus, High-Order Tensor, Image Analysis, Isotropic Diffusion Tensor Imaging, mADC, Mean Apparent Diffusion Coefficient, MRI Pulse Sequences, PATHOLOGY, Peripheral Nervous System, Placenta, PNS, STROKE, TRACE, Whole-Body
Category(s): Collaboration Sought > Collaboration, Collaboration Sought > Licensing, TherapeuticArea > Neurology, Application > Software / Apps
Algorithm for Identifying Images of Fluorescently-Labeled Cells
Improves the ability to distinguish multiple fluorophores with overlapping emission spectra in biological images of labeled cells by a factor of two or more. Background: Cells (including normal and tumor cells), tissues, microbial communities, and other biological systems generally consist of multiple interacting components, especially proteins...
Published: 4/26/2024   |   Inventor(s): Alex Valm, Yunlong Feng
Keywords(s): bacterial cells, bacterial infection, bioengineering, biofilm control, bioinformatics, biomarker diagnostics, biomarkers, cancer, cell biology, computational biology, dental, diagnostics, digital image processing, fluorescence, fluorescence spectroscopy, gene expression analysis, image analysis, image processing, machine learning, medical imaging, microbial pathogenesis, personalized medicine, RNA, saliva, scanning microscopy, Technologies
Category(s): Campus > University at Albany, Technology Classifications > Biological Materials, Technology Classifications > Biomedical Science and Engineering, Technology Classifications > Healthcare, Technology Classifications > Medical Imaging, Technology Classifications > Research Tools and Reagents, Technology Classifications > Therapeutics and Vaccines, Technology Classifications > Viral Vectors
2023-131 A Method for Video Motion Detection, Segmentation, and Compression
Summary: UCLA Researchers in the Department of Electrical and Computer Engineering have developed a new computationally efficient algorithm that detects and tracks motion in videos. Background: Computer vision and video processing have many applications in visual security and surveillance such as people counting, action recognition, anomaly detection,...
Published: 8/7/2023   |   Inventor(s): Bahram Jalali, Yiming Zhou, Callen MacPhee
Keywords(s): Autonomous driving, computational imaging, Computer Monitor, Computer Security, Computer Vision, computer vision algorithm, Computer-Aided Design, data Compression, Data Recovery, Energy Security , event detection, Human tracking, Image Analysis, image and video enhancement, Image Processing, image restoration, Liquid tracking, Metal process monitoring, motion detection, object recognition, real-time sensing/monitoring/tracking, security, Security and defense, security imaging, Structural health monitoring, Vibration monitoring, Vibration sensing, video pre-processing, video processing, visual security and surveillance
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Security & Privacy, Software & Algorithms > Programs
Predicting Railroad Ballast Fouling Conditions Based on Ballast Image
Reference #: 01616 The University of South Carolina is offering licensing opportunities for Predicting Railroad Ballast Fouling Conditions Based on Ballast Image Background: Evaluating railway ballast fouling conditions are critical to assessing track conditions and arranging proper ballast maintenance. The fouled ballast affects the performance...
Published: 2/28/2024   |   Inventor(s): Yufeng Gong, Yu Qian
Keywords(s): fouled ballast, fouling severity prediction, image analysis, Railroad, RGB distribution, track maintenance
Category(s): Engineering and Physical Sciences
2022-217 DDLSNET PIPELINE: A NOVEL DEEP LEARNING-BASED SYSTEM FOR GRADING GLAUCOMATOUS FUNDUSCOPIC IMAGES FOR DAMAGE
SUMMARY: UCLA researchers in the Department of Ophthalmology have developed a deep learning-based automated algorithm that can grade funduscopic images for the diagnosis and treatment of glaucoma. BACKGROUND: Glaucoma is the second leading cause of blindness in the world. In 2020, about 80 million patients suffered from glaucoma, and over 110...
Published: 7/19/2023   |   Inventor(s): Zhe Fei, Haroon Rasheed, Esteban Morales, Tyler Davis, Lourdes Grassi, Agustina de Gainza, Joseph Caprioli
Keywords(s): Artificial Intelligence, Digital Health, Glaucoma, Image Analysis, Monitoring And Recording Systems, Ophthalmology
Category(s): Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Monitoring And Recording Systems, Software & Algorithms > Programs
2022-001-COMPUTER-FREE, ALL-OPTICAL RECONSTRUCTION OF HOLOGRAMS USING DIFFRACTIVE NETWORKS
SUMMARY: UCLA researchers in the Department of Electrical and Computer Engineering have developed optical diffractive networks that can perform holographic reconstructions at the speed of light without the use of computer processing. BACKGROUND: Holographic imaging has been implemented for a diverse field of applications. Holographic Imaging,...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan, MD Sadman Rahman
Keywords(s): Augmented Reality, Diffraction Tomography, Digital Holography, Displays, Holography, Image Analysis, Image Processing, Machine Learning, Microscopy, Optical Tomography, Virtual Reality
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Electrical > Electronics & Semiconductors, Electrical > Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Displays
Computer Vision Based Real-Time Pixel-Level Railroad Track Components Detection System
Reference #: 01467 The University of South Carolina is offering licensing opportunities for Computer vision based real-time pixel-level railroad track components detection system Background: Rail inspection is the practice of examining railroads for flaws that could lead to catastrophic failures. This process takes a lot of time and is typically...
Published: 9/3/2022   |   Inventor(s): Yu Qian, Feng Guo
Keywords(s): convolutional neural network, deep learning, image analysis, missing or broken component, railroad track inspection, real-time process
Category(s): Software and Computing, Engineering and Physical Sciences
2020-795 Single-Shot Autofocusing of Microscopy Images Using Deep Learning (DEEP-R)
Summary: UCLA researchers in the Department of Electrical Engineering have developed a deep learning-based autofocusing method for microscopy imaging (Deep-R). The method can rapidly and blindly autofocus a single-shot microscopy image of a specimen that is acquired at an arbitrary out-of-focus plane. Background: Focus is a critical factor when analyzing...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan, Yair Rivenson, Yilin Luo, Luzhe Huang
Keywords(s): Deep Learning, Fluorescence, Fluorescence Microscope, Image Analysis, Image Processing, Microscopy, Microscopy And Imaging
Category(s): Software & Algorithms > Image Processing, Life Science Research Tools > Microscopy And Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Medical Imaging > Fluorescence
1 2