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

Horowitz et al., 2016 - Google Patents

Extended Vision for Oncology: A Perceptual Science Perspective on Data Visualization and Medical Imaging

Horowitz et al., 2016

Document ID
15033775551384780411
Author
Horowitz T
Rensink R
Publication year
Publication venue
Oncology Informatics

External Links

Snippet

The development of medical informatics—the application of computing power to medicine— has greatly improved the science and practice of oncology and cancer care, allowing us to make more informed decisions. Despite the development of these new technologies …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • 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
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • 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
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • 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
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • 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
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • 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
    • G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30994—Browsing or visualization
    • 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
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • 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
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Health care, e.g. hospitals; Social work

Similar Documents

Publication Publication Date Title
Horowitz Prevalence in visual search: From the clinic to the lab and back again
Kundel et al. Using gaze-tracking data and mixture distribution analysis to support a holistic model for the detection of cancers on mammograms
Andriole et al. Optimizing analysis, visualization, and navigation of large image data sets: one 5000-section CT scan can ruin your whole day
Berman et al. The perception of naturalness correlates with low-level visual features of environmental scenes
Drew et al. Informatics in radiology: what can you see in a single glance and how might this guide visual search in medical images?
Kundel et al. Holistic component of image perception in mammogram interpretation: gaze-tracking study
JP2023501126A (en) Multi-instance learner for tissue image classification
Josephs et al. Perceptual dissociations among views of objects, scenes, and reachable spaces.
Alexander et al. What do radiologists look for? Advances and limitations of perceptual learning in radiologic search
Lötsch et al. Artificial intelligence and machine learning in pain research: a data scientometric analysis
Drew et al. Simple eye-movement feedback during visual search is not helpful
Kelahan et al. The radiologist’s gaze: mapping three-dimensional visual search in computed tomography of the abdomen and pelvis
Dmitriev et al. Visual analytics of a computer-aided diagnosis system for pancreatic lesions
Brunyé et al. Eye tracking reveals expertise-related differences in the time-course of medical image inspection and diagnosis
Beck et al. Eyes-on training and radiological expertise: An examination of expertise development and its effects on visual working memory
Kareem et al. Comparative evaluation for detection of brain tumor using machine learning algorithms
Wen et al. Comparative study of computational visual attention models on two-dimensional medical images
Kunar The optimal use of computer aided detection to find low prevalence cancers
Gandomkar et al. A model based on temporal dynamics of fixations for distinguishing expert radiologists' scanpaths
Wolfe Visual search
Kulkarni Impact of Various Data Splitting Ratios on the Performance of Machine Learning Models in the Classification of Lung Cancer
Słowiński et al. Assessment of cognitive biases in augmented reality: Beyond eye tracking
Gotz et al. Adaptive contextualization methods for combating selection bias during high-dimensional visualization
Williams et al. Characteristics of expert search behavior in volumetric medical image interpretation
Mall et al. Can a machine learn from radiologists’ visual search behaviour and their interpretation of mammograms—a deep-learning study