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

Wang et al., 2020 - Google Patents

External validation of a mammographic texture marker for breast cancer risk in a case–control study

Wang et al., 2020

View PDF
Document ID
9820977242418325339
Author
Wang C
Brentnall A
Mainprize J
Yaffe M
Cuzick J
Harvey J
Publication year
Publication venue
Journal of Medical Imaging

External Links

Snippet

Purpose: The pattern of dense tissue on a mammogram appears to provide additional information than overall density for risk assessment, but there has been little consistency in measures of texture identified. The purpose of this study is thus to validate a mammographic …
Continue reading at www.spiedigitallibrary.org (PDF) (other versions)

Classifications

    • 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
    • G06F19/34Computer-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
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • 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
    • G06F19/322Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • 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
    • G06F19/328Health insurance management, e.g. payments or protection against fraud
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Health care, e.g. hospitals; Social work
    • 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
    • G06F19/36Computer-assisted acquisition of medical data, e.g. computerised clinical trials or questionnaires
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay
    • G01N33/574Immunoassay; Biospecific binding assay for cancer
    • G01N33/57407Specifically defined cancers
    • 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
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • 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
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00Detection or diagnosis of diseases
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons
    • G01N23/02Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by transmitting the radiation through the material

Similar Documents

Publication Publication Date Title
Yang et al. Development and validation of deep learning algorithms for scoliosis screening using back images
Conant et al. Breast cancer screening using tomosynthesis in combination with digital mammography compared to digital mammography alone: a cohort study within the PROSPR consortium
Chang et al. Multi-institutional assessment and crowdsourcing evaluation of deep learning for automated classification of breast density
Brentnall et al. A case-control study to add volumetric or clinical mammographic density into the Tyrer-Cuzick breast cancer risk model
Ha et al. Development of a fully automatic deep learning system for L3 selection and body composition assessment on computed tomography
Ueda et al. Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study
Bocchino et al. Performance of a new quantitative computed tomography index for interstitial lung disease assessment in systemic sclerosis
Sovio et al. Comparison of fully and semi-automated area-based methods for measuring mammographic density and predicting breast cancer risk
Jeffreys et al. Initial experiences of using an automated volumetric measure of breast density: the standard mammogram form
Hong et al. Bone radiomics score derived from DXA hip images enhances hip fracture prediction in older women
Warner et al. Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study
Folle et al. Deep learning methods allow fully automated segmentation of metacarpal bones to quantify volumetric bone mineral density
CN116324874A (en) Artificial intelligence prediction for prognosis of prostate cancer
Weiss et al. Deep learning to estimate lung disease mortality from chest radiographs
Yuan et al. Prognostic Impact of the Findings on Thin-Section Computed Tomography in stage I lung adenocarcinoma with visceral pleural invasion
Cui et al. Predicting shockwave lithotripsy outcome for urolithiasis using clinical and stone computed tomography texture analysis variables
Albuquerque et al. Osteoporosis screening using machine learning and electromagnetic waves
Sansone et al. Radiomic features of breast parenchyma: assessing differences between FOR PROCESSING and FOR PRESENTATION digital mammography
Saillard et al. Blind validation of MSIntuit, an AI-based pre-screening tool for MSI detection from histology slides of colorectal cancer
Tari et al. Breast density evaluation according to BI-RADS 5th edition on digital breast tomosynthesis: AI automated assessment versus human visual assessment
Lim et al. Validation for measurements of skeletal muscle areas using low-dose chest computed tomography
Tsai et al. Artificial Intelligence-enabled Chest X-ray Classifies Osteoporosis and Identifies Mortality Risk
Fuhrman et al. Evaluation of emphysema on thoracic low-dose CTs through attention-based multiple instance deep learning
Wang et al. External validation of a mammographic texture marker for breast cancer risk in a case–control study
Van Den Oever et al. Qualitative evaluation of common quantitative metrics for clinical acceptance of automatic segmentation: a case study on heart contouring from CT images by deep learning algorithms