Výsledky vyhledávání - "4603 Computer Vision and Multimedia Computation (for-2020)"

From noisy observables to accurate ground-state energies: A quantum–classical signal subspace approach with denoising

Autoři: Bassi, Hardeep Shen, Yizhi Bhat, Harish S a další

Zdroj: APL Quantum. 2(4)

Témata: 5108 Quantum Physics (for-2020), 40 Engineering (for-2020), 46 Information and Computing Sciences (for-2020), 4006 Communications Engineering (for-2020), 51 Physical Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020)

Přístupová URL adresa: https://escholarship.org/uc/item/1n681400

Unifying Structure and Function Towards a Comprehensive Macular Evaluation in Eye Disorders: A Multi-Modal Approach Using Microperimetry and Optical Coherence Tomography

Autoři: Soans, Rijul Saurabh Smith, Benjamin E Chung, Susana TL

Zdroj: IEEE Transactions on Biomedical Engineering. 72(5)

Témata: 40 Engineering (for-2020), 4003 Biomedical Engineering (for-2020), 46 Information and Computing Sciences (for-2020), 4009 Electronics, Sensors and Digital Hardware (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Eye Disease and Disorders of Vision (rcdc), Clinical Research (rcdc), Bioengineering (rcdc), Neurodegenerative (rcdc), Biomedical Imaging (rcdc), Neurosciences (rcdc), Eye (hrcs-hc), Humans (mesh), Tomography, Optical Coherence (mesh), Adult (mesh), Visual Field Tests (mesh), Macula Lutea (mesh), Middle Aged (mesh), Male (mesh), Multimodal Imaging (mesh), Female (mesh), Retina (mesh), Ophthalmoscopy (mesh), Retinal Diseases (mesh), Young Adult (mesh), Retina, Manuals, Visualization, Image resolution, Optical distortion, Surgery, Sensitivity, Optical imaging, Software, Performance evaluation, Elastic registration, image registration, macula, microperimetry, object tracking, optical coherence tomography, particle tracking, retina, SIFT, Retina (mesh), Macula Lutea (mesh), Humans (mesh), Retinal Diseases (mesh), Tomography, Optical Coherence (mesh), Ophthalmoscopy (mesh), Adult (mesh), Middle Aged (mesh), Female (mesh), Male (mesh), Young Adult (mesh), Visual Field Tests (mesh), Multimodal Imaging (mesh), Humans (mesh), Tomography, Optical Coherence (mesh), Adult (mesh), Visual Field Tests (mesh), Macula Lutea (mesh), Middle Aged (mesh), Male (mesh), Multimodal Imaging (mesh), Female (mesh), Retina (mesh), Ophthalmoscopy (mesh), Retinal Diseases (mesh), Young Adult (mesh), 0801 Artificial Intelligence and Image Processing (for), 0903 Biomedical Engineering (for), 0906 Electrical and Electronic Engineering (for), Biomedical Engineering (science-metrix), 4003 Biomedical engineering (for-2020), 4009 Electronics, sensors and digital hardware (for-2020), 4603 Computer vision and multimedia computation (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/347546m9
https://escholarship.org/content/qt347546m9/qt347546m9.pdf

1.7-micron Optical Coherence Tomography Angiography for Diagnosis and Monitoring of Hereditary Hemorrhagic Telangiectasia - A Pilot Study

Autoři: Murthy, Raksha Sreeramachandra Elsanadi, Rachel Soliman, John a další

Zdroj: IEEE Transactions on Biomedical Engineering. 72(2)

Témata: 40 Engineering (for-2020), 4003 Biomedical Engineering (for-2020), 46 Information and Computing Sciences (for-2020), 4009 Electronics, Sensors and Digital Hardware (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Bioengineering (rcdc), Rare Diseases (rcdc), Hematology (rcdc), Biomedical Imaging (rcdc), Clinical Research (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), Humans (mesh), Telangiectasia, Hereditary Hemorrhagic (mesh), Tomography, Optical Coherence (mesh), Pilot Projects (mesh), Male (mesh), Female (mesh), Angiography (mesh), Middle Aged (mesh), Adult (mesh), Skin (mesh), Aged (mesh), Optical coherence tomography, hered- itary hemorrhagic telangiectasia, dermatology, OCT angiography, OCT angiography, OCT angiography, Skin (mesh), Humans (mesh), Telangiectasia, Hereditary Hemorrhagic (mesh), Angiography (mesh), Tomography, Optical Coherence (mesh), Pilot Projects (mesh), Adult (mesh), Aged (mesh), Middle Aged (mesh), Female (mesh), Male (mesh), Humans (mesh), Telangiectasia, Hereditary Hemorrhagic (mesh), Tomography, Optical Coherence (mesh), Pilot Projects (mesh), Male (mesh), Female (mesh), Angiography (mesh), Middle Aged (mesh), Adult (mesh), Skin (mesh), Aged (mesh), 0801 Artificial Intelligence and Image Processing (for), 0903 Biomedical Engineering (for), 0906 Electrical and Electronic Engineering (for), Biomedical Engineering (science-metrix), 4003 Biomedical engineering (for-2020), 4009 Electronics, sensors and digital hardware (for-2020), 4603 Computer vision and multimedia computation (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/6h76g4h5
https://escholarship.org/content/qt6h76g4h5/qt6h76g4h5.pdf

Synthetic Scientific Image Generation with VAE, GAN, and Diffusion Model Architectures

Autoři: Sordo, Zineb Chagnon, Eric Hu, Zixi a další

Zdroj: Journal of Imaging. 11(8)

Témata: 46 Information and Computing Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Bioengineering (rcdc), Biomedical Imaging (rcdc), Generic health relevance (hrcs-hc), image generation, generative AI, Generative Adversarial Networks, diffusion, synthetic data, Generative Adversarial Networks, diffusion, generative AI, image generation, synthetic data, 4003 Biomedical engineering (for-2020), 4603 Computer vision and multimedia computation (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/8sr171mx
https://escholarship.org/content/qt8sr171mx/qt8sr171mx.pdf

Estimation of Trabecular Bone Volume with Dual-Echo Ultrashort Echo Time (UTE) Magnetic Resonance Imaging (MRI) Significantly Correlates with High-Resolution Computed Tomography (CT)

Autoři: Cheng, Karen Y Moazamian, Dina Namiranian, Behnam a další

Zdroj: Journal of Imaging. 11(2)

Témata: 46 Information and Computing Sciences (for-2020), 40 Engineering (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), 4003 Biomedical Engineering (for-2020), Osteoporosis (rcdc), Women's Health (rcdc), Biomedical Imaging (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), quantitative MRI, ultrashort echo time, trabecular bone, fracture risk assessment, micro-computed tomography, fracture risk assessment, micro-computed tomography, quantitative MRI, trabecular bone, ultrashort echo time, 4003 Biomedical engineering (for-2020), 4603 Computer vision and multimedia computation (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/49c581n4
https://escholarship.org/content/qt49c581n4/qt49c581n4.pdf

LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics

Autoři: Xie, Tiankai Chen, Jiaqing Yang, Yaoqing a další

Zdroj: IEEE Computer Graphics and Applications. 45(2)

Témata: 46 Information and Computing Sciences (for-2020), 4611 Machine Learning (for-2020), Machine Learning and Artificial Intelligence (rcdc), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), Measurement, Neural networks, Loss measurement, Training, Computational modeling, Load modeling, Data analysis, Analytical models, Visual analytics, Computer architecture, Machine learning, 0801 Artificial Intelligence and Image Processing (for), 0906 Electrical and Electronic Engineering (for), Software Engineering (science-metrix), 4603 Computer vision and multimedia computation (for-2020), 4607 Graphics, augmented reality and games (for-2020), 4608 Human-centred computing (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/9f42j92j
https://escholarship.org/content/qt9f42j92j/qt9f42j92j.pdf

Forecasting high-dimensional spatio-temporal systems from sparse measurements

Autoři: Song, Jialin Song, Zezheng Ren, Pu a další

Zdroj: Machine Learning: Science and Technology. 5(4)

Témata: 46 Information and Computing Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Bioengineering (rcdc), spatio-temporal data, sparse measurements, vision transformers, dynamic modeling, 4601 Applied computing (for-2020), 4611 Machine learning (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/01f8s2cb
https://escholarship.org/content/qt01f8s2cb/qt01f8s2cb.pdf

Radiation image reconstruction and uncertainty quantification using a Gaussian process prior

Autoři: Lee, Jaewon Joshi, Tenzing H Bandstra, Mark S a další

Zdroj: Scientific Reports. 14(1)

Témata: 46 Information and Computing Sciences (for-2020), 4006 Communications Engineering (for-2020), 40 Engineering (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Bioengineering (rcdc), Generic health relevance (hrcs-hc), NSD-Applied Nuclear Physics (c-lbnl-label)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/4xd4z06c
https://escholarship.org/content/qt4xd4z06c/qt4xd4z06c.pdf

Highly multiplexed spectral FLIM via physics informed data analysis

Autoři: Mohamadreza Fazel Reza Hoseini Ayush Saurabh a další

Zdroj: BIOPHYSICAL JOURNAL, vol 123, iss 3

Témata: 46 Information and Computing Sciences (for-2020), 02 Physical Sciences (for), 34 Chemical sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), 51 Physical Sciences (for-2020), 03 Chemical Sciences (for), 31 Biological sciences (for-2020), Biophysics (science-metrix), 51 Physical sciences (for-2020), 06 Biological Sciences (for)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/content/qt7x108123/qt7x108123.pdf
https://escholarship.org/uc/item/7x108123

Semi-Path: An interactive semi-supervised learning framework for gigapixel pathology image analysis

Autoři: Lai, Zhengfeng Chauhan, Joohi Chen, Dongjie a další

Zdroj: Smart Health. 32

Témata: 4603 Computer Vision and Multimedia Computation (for-2020), 46 Information and Computing Sciences (for-2020), 4611 Machine Learning (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), Bioengineering (rcdc), Machine Learning and Artificial Intelligence (rcdc), Semi-supervised learning, Pathology image analysis, Active learning, 40 Engineering (for-2020), 42 Health sciences (for-2020), 46 Information and computing sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/4sk4g2d0
https://escholarship.org/content/qt4sk4g2d0/qt4sk4g2d0.pdf

Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies

Autoři: Brunyé, Tad T Booth, Kelsey Hendel, Dalit a další

Zdroj: Journal of the American Medical Informatics Association. 31(3)

Témata: 46 Information and Computing Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Cancer (rcdc), Patient Safety (rcdc), Women's Health (rcdc), Machine Learning and Artificial Intelligence (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Breast Cancer (rcdc), Behavioral and Social Science (rcdc), Basic Behavioral and Social Science (rcdc), Clinical Research (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), Humans (mesh), Pathologists (mesh), Breast (mesh), Algorithms (mesh), Biopsy (mesh), Machine Learning (mesh), breast pathology, medical education, medical residency training, machine learning, diagnostic decision-making, medical image interpretation, diagnostic accuracy, Breast (mesh), Humans (mesh), Biopsy (mesh), Algorithms (mesh), Machine Learning (mesh), Pathologists (mesh), breast pathology, diagnostic accuracy, diagnostic decision-making, machine learning, medical education, medical image interpretation, medical residency training, Humans (mesh), Pathologists (mesh), Breast (mesh), Algorithms (mesh), Biopsy (mesh), Machine Learning (mesh), 08 Information and Computing Sciences (for), 09 Engineering (for), 11 Medical and Health Sciences (for), Medical Informatics (science-metrix), 32 Biomedical and clinical sciences (for-2020), 42 Health sciences (for-2020), 46 Information and computing sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/1d62s5j9
https://escholarship.org/content/qt1d62s5j9/qt1d62s5j9.pdf

Radiation-induced acoustic signal denoising using a supervised deep learning framework for imaging and therapy monitoring

Autoři: Jiang, Zhuoran Wang, Siqi Xu, Yifei a další

Zdroj: Physics in Medicine and Biology. 68(23)

Témata: 5105 Medical and Biological Physics (for-2020), 51 Physical Sciences (for-2020), Biomedical Imaging (rcdc), Cancer (rcdc), Machine Learning and Artificial Intelligence (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Bioengineering (rcdc), 7 Affordable and Clean Energy (sdg), Deep Learning (mesh), Neural Networks, Computer (mesh), Tomography, X-Ray Computed (mesh), Signal-To-Noise Ratio (mesh), Acoustics (mesh), Image Processing, Computer-Assisted (mesh), 46 Information and Computing Sciences (for-2020), 51 Physical Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Biomedical Imaging (rcdc), Machine Learning and Artificial Intelligence (rcdc), radiation-induced acoustic signal denoising, x-ray-induced acoustic, protoacoustic, electroacoustic, deep learning, Tomography, X-Ray Computed (mesh), Acoustics (mesh), Image Processing, Computer-Assisted (mesh), Signal-To-Noise Ratio (mesh), Deep Learning (mesh), Neural Networks, Computer (mesh), deep learning, electroacoustic, protoacoustic, radiation-induced acoustic signal denoising, x-ray-induced acoustic, Deep Learning (mesh), Neural Networks, Computer (mesh), Tomography, X-Ray Computed (mesh), Signal-To-Noise Ratio (mesh), Acoustics (mesh), Image Processing, Computer-Assisted (mesh), 0299 Other Physical Sciences (for), 0903 Biomedical Engineering (for), 1103 Clinical Sciences (for), Nuclear Medicine & Medical Imaging (science-metrix), 5105 Medical and biological physics (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/9f1844fc
https://escholarship.org/content/qt9f1844fc/qt9f1844fc.pdf

Material Identification in Complex Environments: Neural Network Approaches to Hyperspectral Image Analysis

Autoři: Brown, Jason Chen, Bohan Hardiman-Mostow, Harris a další

Zdroj: 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). 00

Témata: 4605 Data Management and Data Science (for-2020), 46 Information and Computing Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/0sd896x6
https://escholarship.org/content/qt0sd896x6/qt0sd896x6.pdf

Differential diagnosis of prostate cancer and benign prostatic hyperplasia based on DCE-MRI using bi-directional CLSTM deep learning and radiomics

Autoři: Zhang, Yang Li, Weikang Zhang, Zhao a další

Zdroj: Medical & Biological Engineering & Computing. 61(3)

Témata: 40 Engineering (for-2020), 4003 Biomedical Engineering (for-2020), 46 Information and Computing Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), 4611 Machine Learning (for-2020), Cancer (rcdc), Aging (rcdc), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Prostate Cancer (rcdc), Urologic Diseases (rcdc), Machine Learning and Artificial Intelligence (rcdc), Biomedical Imaging (rcdc), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), 3 Good Health and Well Being (sdg), Male (mesh), Humans (mesh), Prostatic Hyperplasia (mesh), Deep Learning (mesh), Diagnosis, Differential (mesh), Magnetic Resonance Imaging (mesh), Prostatic Neoplasms (mesh), Contrast Media (mesh), Retrospective Studies (mesh), Prostate cancer, Dynamic contrast-enhanced MRI (DCE-MRI), Bi-directional convolutional long short-term memory (CLSTM), Radiomics, Peritumoral, Humans (mesh), Prostatic Neoplasms (mesh), Prostatic Hyperplasia (mesh), Contrast Media (mesh), Diagnosis, Differential (mesh), Magnetic Resonance Imaging (mesh), Retrospective Studies (mesh), Male (mesh), Deep Learning (mesh), Bi-directional convolutional long short-term memory (CLSTM), Dynamic contrast-enhanced MRI (DCE-MRI), Peritumoral, Prostate cancer, Radiomics, Male (mesh), Humans (mesh), Prostatic Hyperplasia (mesh), Deep Learning (mesh), Diagnosis, Differential (mesh), Magnetic Resonance Imaging (mesh), Prostatic Neoplasms (mesh), Contrast Media (mesh), Retrospective Studies (mesh), 0903 Biomedical Engineering (for), 0906 Electrical and Electronic Engineering (for), Biomedical Engineering (science-metrix), 4003 Biomedical engineering (for-2020), 4603 Computer vision and multimedia computation (for-2020), 4611 Machine learning (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/81q661mz
https://escholarship.org/content/qt81q661mz/qt81q661mz.pdf

Synthesizing MR Image Contrast Enhancement Using 3D High-Resolution ConvNets

Autoři: Chen, Chao Raymond, Catalina Speier, William a další

Zdroj: IEEE Transactions on Biomedical Engineering. 70(2)

Témata: 40 Engineering (for-2020), 4003 Biomedical Engineering (for-2020), 46 Information and Computing Sciences (for-2020), 4009 Electronics, Sensors and Digital Hardware (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), Machine Learning and Artificial Intelligence (rcdc), Cancer (rcdc), Bioengineering (rcdc), Brain Cancer (rcdc), Neurosciences (rcdc), Biomedical Imaging (rcdc), Brain Disorders (rcdc), Rare Diseases (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), Neurological (hrcs-hc), Humans (mesh), Gadolinium (mesh), Magnetic Resonance Imaging (mesh), Image Enhancement (mesh), Diffusion Magnetic Resonance Imaging (mesh), Brain Neoplasms (mesh), Contrast Media (mesh), Magnetic resonance imaging, Tumors, Three-dimensional displays, Biomedical imaging, Imaging, Brain modeling, Image synthesis, Brain MRI, contrast enhancement, fully convolutional networks, GBCAs, medical image synthesis, Magnetic resonance imaging, Tumors, Three-dimensional displays, Biomedical imaging, Imaging, Brain modeling, Image synthesis, Brain MRI, contrast enhancement, fully convolutional networks, GBCAs, medical image synthesis, Humans (mesh), Brain Neoplasms (mesh), Gadolinium (mesh), Contrast Media (mesh), Magnetic Resonance Imaging (mesh), Diffusion Magnetic Resonance Imaging (mesh), Image Enhancement (mesh), Humans (mesh), Gadolinium (mesh), Magnetic Resonance Imaging (mesh), Image Enhancement (mesh), Diffusion Magnetic Resonance Imaging (mesh), Brain Neoplasms (mesh), Contrast Media (mesh), 0801 Artificial Intelligence and Image Processing (for), 0903 Biomedical Engineering (for), 0906 Electrical and Electronic Engineering (for), Biomedical Engineering (science-metrix), 4003 Biomedical engineering (for-2020), 4009 Electronics, sensors and digital hardware (for-2020), 4603 Computer vision and multimedia computation (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/7hm533pz
https://escholarship.org/content/qt7hm533pz/qt7hm533pz.pdf

Quantum Computing and Visualization: A Disruptive Technological Change Ahead

Autoři: Bethel, E Wes Amankwah, Mercy G Balewski, Jan a další

Zdroj: IEEE Computer Graphics and Applications. 43(6)

Témata: 46 Information and Computing Sciences (for-2020), 4607 Graphics, Augmented Reality and Games (for-2020), 4608 Human-Centred Computing (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Training, Visualization, Quantum algorithm, Quantum entanglement, Data visualization, Quantum state, Performance gain, 0801 Artificial Intelligence and Image Processing (for), 0906 Electrical and Electronic Engineering (for), Software Engineering (science-metrix), 4603 Computer vision and multimedia computation (for-2020), 4607 Graphics, augmented reality and games (for-2020), 4608 Human-centred computing (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/36k2j6ng
https://escholarship.org/content/qt36k2j6ng/qt36k2j6ng.pdf

Long-term missing value imputation for time series data using deep neural networks

Autoři: Park, Jangho Müller, Juliane Arora, Bhavna a další

Zdroj: Neural Computing and Applications. 35(12)

Témata: 46 Information and Computing Sciences (for-2020), 4611 Machine Learning (for-2020), Bioengineering (rcdc), Machine Learning and Artificial Intelligence (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Generic health relevance (hrcs-hc), Missing value imputation, Environmental data, Machine learning, Hyperparameter optimization, Derivative-free optimization, Surrogate models, 0801 Artificial Intelligence and Image Processing (for), 0906 Electrical and Electronic Engineering (for), 1702 Cognitive Sciences (for), Artificial Intelligence & Image Processing (science-metrix), 4602 Artificial intelligence (for-2020), 4603 Computer vision and multimedia computation (for-2020), 4611 Machine learning (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/63f2185k
https://escholarship.org/content/qt63f2185k/qt63f2185k.pdf

Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks

Autoři: Jiacheng Cheng Xiang Dai Jia Wan a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031728969

Témata: 46 Information and Computing Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), 4604 Cybersecurity and Privacy (for-2020), 46 Information and computing sciences (for-2020), Artificial Intelligence & Image Processing (science-metrix), Privacy-preserving Camera, 4608 Human-Centred Computing (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/content/qt5kk794dh/qt5kk794dh.pdf
https://escholarship.org/uc/item/5kk794dh

Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels

Autoři: Noack, Marcus M Krishnan, Harinarayan Risser, Mark D a další

Zdroj: Scientific Reports. 13(1)

Témata: 4611 Machine Learning (for-2020), 46 Information and Computing Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/0765z1k6
https://escholarship.org/content/qt0765z1k6/qt0765z1k6.pdf

Classification of Breast Cancer Using Transfer Learning and Advanced Al-Biruni Earth Radius Optimization

Autoři: Alhussan, Amel Ali Abdelhamid, Abdelaziz A Towfek, SK a další

Zdroj: Biomimetics. 8(3)

Témata: 4603 Computer Vision and Multimedia Computation (for-2020), 46 Information and Computing Sciences (for-2020), 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Women's Health (rcdc), Machine Learning and Artificial Intelligence (rcdc), Breast Cancer (rcdc), Biomedical Imaging (rcdc), Cancer (rcdc), Cancer (hrcs-hc), biological mechanism, cancer detection, Al-Biruni Earth radius optimization algorithm, machine learning, Al-Biruni Earth radius optimization algorithm, biological mechanism, cancer detection, machine learning

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/0tt9s8s8
https://escholarship.org/content/qt0tt9s8s8/qt0tt9s8s8.pdf