Cargando…

Deep learning and computer vision techniques for microcirculation analysis: A review

The analysis of microcirculation images has the potential to reveal early signs of life-threatening diseases such as sepsis. Quantifying the capillary density and the capillary distribution in microcirculation images can be used as a biological marker to assist critically ill patients. The quantific...

Descripción completa

Detalles Bibliográficos
Autores principales:	Helmy, Maged, Truong, Trung Tuyen, Jul, Eric, Ferreira, Paulo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868679/ https://www.ncbi.nlm.nih.gov/pubmed/36699745 http://dx.doi.org/10.1016/j.patter.2022.100641

Ejemplares similares

Deep Learning in Computer Vision
por: Kudrynski, Krzysztof, et al.
Publicado: (2019)

Deep learning-enabled medical computer vision
por: Esteva, Andre, et al.
Publicado: (2021)

Deep Learning for Computer Vision: A Brief Review
por: Voulodimos, Athanasios, et al.
Publicado: (2018)

A Comprehensive Review of Recent Deep Learning Techniques for Human Activity Recognition
por: Le, Viet-Tuan, et al.
Publicado: (2022)

Deep Learning for Computer Vision with SAS
por: Blanchard, Robert
Publicado: (2020)

Domain adaptation in computer vision with deep learning
por: Venkateswara, Hemanth, et al.
Publicado: (2020)

Python deep learning: next generation techniques to revolutionize computer vision, AI, speech and data analysis
por: Zocca, Valentino, et al.
Publicado: (2017)

Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows
por: Amaratunga, Thimira
Publicado: (2020)

Recognition of Mould Colony on Unhulled Paddy Based on Computer Vision using Conventional Machine-learning and Deep Learning Techniques
por: Sun, Ke, et al.
Publicado: (2016)

Applied Deep Learning and Computer Vision for Self-Driving Cars
por: Ranjan, Sumit
Publicado: (2020)

Rapid identification of chrysanthemum teas by computer vision and deep learning
por: Liu, Chunlin, et al.
Publicado: (2020)

MeshCut data augmentation for deep learning in computer vision
por: Jiang, Wei, et al.
Publicado: (2020)

Automated analysis of retinal imaging using machine learning techniques for computer vision
por: De Fauw, Jeffrey, et al.
Publicado: (2017)

Deep learning for computer vision: expert techniques to train advanced neural networks using TensorFlow and Keras
por: Shanmugamani, Rajalingappaa
Publicado: (2018)

Hands-on Java deep learning for computer vision: implement machine learning and neural network methodologies to perform computer vision-related tasks
por: Ramo, Klevis
Publicado: (2019)

Learn computer vision using OpenCV: with deep learning CNNs and RNNs
por: Gollapudi, Sunila
Publicado: (2019)

Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning
por: Kentsch, Sarah, et al.
Publicado: (2021)

Deep Learning for Vision Systems
por: Elgendy, Mohamed
Publicado: (2020)

Vision-Based HAR in UAV Videos Using Histograms and Deep Learning Techniques
por: Gundu, Sireesha, et al.
Publicado: (2023)

Contrast-enhanced ultrasound: a new vision of microcirculation in the intensive care unit
por: Harrois, Anatole, et al.
Publicado: (2013)

Soft Computing Techniques in Vision Science
por: Patnaik, Srikanta, et al.
Publicado: (2012)

Computer Vision Techniques for Transcatheter Intervention
Publicado: (2015)

Deep learning to automate the labelling of head MRI datasets for computer vision applications
por: Wood, David A., et al.
Publicado: (2021)

Construction Site Safety Management: A Computer Vision and Deep Learning Approach
por: Lee, Jaekyu, et al.
Publicado: (2023)

Deep Learning and Vision Transformer for Medical Image Analysis
por: Zhang, Yudong, et al.
Publicado: (2023)

Automated Detection of Posterior Vitreous Detachment on OCT Using Computer Vision and Deep Learning Algorithms
por: Li, Alexa L., et al.
Publicado: (2022)

Machine Learning for Computer Vision
por: Cipolla, Roberto, et al.
Publicado: (2013)

Building computer vision projects with OpenCV 4 and C++: implement complex computer vision algorithms and explore deep learning and face detection
por: Millán Escrivá, David, et al.
Publicado: (2019)

PyTorch computer vision cookbook: over 70 recipes to master the art of computer vision with deep learning and PyTorch 1.x
por: Avendi, Michael
Publicado: (2020)

Pixel Intensity Resemblance Measurement and Deep Learning Based Computer Vision Model for Crack Detection and Analysis
por: Paramanandham, Nirmala, et al.
Publicado: (2023)

Microcirculation
Publicado: (1976)

Microcirculation
por: Piagnerelli, Michael, et al.
Publicado: (2012)

Nanoparticle Recognition on Scanning Probe Microscopy Images Using Computer Vision and Deep Learning
por: Okunev, Alexey G., et al.
Publicado: (2020)

Deep Learning for Industrial Computer Vision Quality Control in the Printing Industry 4.0
por: Villalba-Diez, Javier, et al.
Publicado: (2019)

A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets
por: Bayoudh, Khaled, et al.
Publicado: (2021)

A Computer Vision-Based Approach for Tick Identification Using Deep Learning Models
por: Luo, Chu-Yuan, et al.
Publicado: (2022)

Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications
por: Naqvi, Rizwan Ali, et al.
Publicado: (2022)

Benchmarking for Strain Evaluation in CFRP Laminates Using Computer Vision: Machine Learning versus Deep Learning
por: Valença, Jónatas, et al.
Publicado: (2022)

Computer vision techniques for the diagnosis of skin cancer
por: Scharcanski, Jacob, et al.
Publicado: (2014)

Hand Gesture Recognition Based on Computer Vision: A Review of Techniques
por: Oudah, Munir, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_m47rucvv89uhu0gg77bijk5vqd