[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Alkhatib et al., 2019 - Google Patents

Deep visual nerve tracking in ultrasound images

Alkhatib et al., 2019

View PDF
Document ID
2087770784938891549
Author
Alkhatib M
Hafiane A
Vieyres P
Delbos A
Publication year
Publication venue
Computerized Medical Imaging and Graphics

External Links

Snippet

Ultrasound-guided regional anesthesia (UGRA) becomes a standard procedure in surgical operations and pain management, offers the advantages of nerve localization, and provides region of interest anatomical structure visualization. Nerve tracking presents a crucial step …
Continue reading at www.sciencedirect.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements

Similar Documents

Publication Publication Date Title
Alkhatib et al. Deep visual nerve tracking in ultrasound images
Man et al. Deep Q learning driven CT pancreas segmentation with geometry-aware U-Net
Li et al. Fusing two-stream convolutional neural networks for RGB-T object tracking
Li et al. Deep visual tracking: Review and experimental comparison
Zhang et al. Seven-layer deep neural network based on sparse autoencoder for voxelwise detection of cerebral microbleed
Cheng et al. Discriminative vessel segmentation in retinal images by fusing context-aware hybrid features
Zhao et al. Real-time tracking of surgical instruments based on spatio-temporal context and deep learning
Pang et al. Deep learning to frame objects for visual target tracking
Xia et al. A multi-scale segmentation-to-classification network for tiny microaneurysm detection in fundus images
Chen et al. Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble
Wang et al. Detection based visual tracking with convolutional neural network
Loukas et al. Keyframe extraction from laparoscopic videos based on visual saliency detection
Zhang et al. Robust visual tracking via convolutional networks
Wang et al. Single-stage pose estimation and joint angle extraction method for moving human body
Guo et al. Current applications of artificial intelligence-based computer vision in laparoscopic surgery
Li et al. Robust object tracking via large margin and scale-adaptive correlation filter
Xue et al. Oriented localization of surgical tools by location encoding
Mountney et al. Context specific descriptors for tracking deforming tissue
Zhang et al. Robust tracking via convolutional networks without learning
Pirnar et al. Performance evaluation of rppg approaches with and without the region-of-interest localization step
Bouraffa et al. Context-aware correlation filter learning toward peak strength for visual tracking
Tang et al. Spatial-aware correlation filters with adaptive weight maps for visual tracking
Zhou et al. Hybrid generative-discriminative learning for online tracking of sperm cell
Cui et al. Feature-comparison network for visual tracking
Zhao et al. Robust object tracking using a sparse coadjutant observation model