[go: up one dir, main page]

Yu et al., 2017 - Google Patents

iVAR: Interactive visual analytics of radiomics features from large-scale medical images

Yu et al., 2017

View PDF
Document ID
3247301424681088870
Author
Yu L
Jiang H
Yu H
Zhang C
Mcallister J
Zheng D
Publication year
Publication venue
2017 IEEE international conference on big data (Big Data)

External Links

Snippet

Medical imaging enables researchers and practitioner to uncover the characteristics of diseases (eg, human cancer) in great detail. However, the sheer size of resulting imaging data and the high dimension of derived features become a major challenge in data analysis …
Continue reading at cse.unl.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/20Drawing from basic elements, e.g. lines or circles
    • G06T11/206Drawing of charts or graphs
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations

Similar Documents

Publication Publication Date Title
Klemm et al. Interactive visual analysis of image-centric cohort study data
Yu et al. iVAR: Interactive visual analytics of radiomics features from large-scale medical images
Ristovski et al. Uncertainty in medical visualization: Towards a taxonomy
EP3996039A1 (en) Image analysis method supporting illness development prediction for a neoplasm in a human or animal body
Von Landesberger et al. Visual analytics for model-based medical image segmentation: Opportunities and challenges
EP2987114B1 (en) Method and system for determining a phenotype of a neoplasm in a human or animal body
Haidacher et al. Volume analysis using multimodal surface similarity
Feng et al. MRI tissue classification using high-resolution Bayesian hidden Markov normal mixture models
CN109416835A (en) Detection of changes in medical images
Fujiwara et al. A visual analytics system for brain functional connectivity comparison across individuals, groups, and time points
Muller et al. Integrated dual analysis of quantitative and qualitative high-dimensional data
Yang et al. Performing sparse regularization and dimension reduction simultaneously in multimodal data fusion
Markiewicz et al. Assessment of bootstrap resampling performance for PET data
Raidou Visual analytics for the representation, exploration, and analysis of high-dimensional, multi-faceted medical data
de Ridder et al. A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging
Dai et al. Three-dimensional radial visualization of high-dimensional continuous or discrete data
Corvò et al. PathoVA: A visual analytics tool for pathology diagnosis and reporting
Kuckertz et al. Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity
Raj et al. Evaluating shape alignment via ensemble visualization
Zhang et al. ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis
Gillmann et al. Intuitive error space exploration of medical image data in clinical daily routine
Wolsztynski et al. Combining structural and textural assessments of volumetric FDG-PET uptake in NSCLC
Gutenko et al. AnaFe: Visual Analytics of Image-derived Temporal Features—Focusing on the Spleen
Garrison et al. SpectraMosaic: An Exploratory Tool for the Interactive Visual Analysis of Magnetic Resonance Spectroscopy Data.
Xu et al. Unsupervised profiling of microglial arbor morphologies and distribution using a nonparametric Bayesian approach