Search Results - image+analysis

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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 | 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

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: 11/15/2024 | 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

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: 11/15/2024 | 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

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: 11/15/2024 | 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