BR102018071293A2 - method for automating resolution testing on digital images - Google Patents

method for automating resolution testing on digital images Download PDF

Info

Publication number
BR102018071293A2
BR102018071293A2 BR102018071293A BR102018071293A BR102018071293A2 BR 102018071293 A2 BR102018071293 A2 BR 102018071293A2 BR 102018071293 A BR102018071293 A BR 102018071293A BR 102018071293 A BR102018071293 A BR 102018071293A BR 102018071293 A2 BR102018071293 A2 BR 102018071293A2
Authority
BR
Brazil
Prior art keywords
resolved
automating
digital images
resolution testing
discerned
Prior art date
Application number
BR102018071293A
Other languages
Portuguese (pt)
Inventor
Brunetto Tancredi Felipe
Emerick Ramos Jhonata
Original Assignee
Soc Beneficente Israelita Brasileira Hospital Albert Einstein
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Soc Beneficente Israelita Brasileira Hospital Albert Einstein filed Critical Soc Beneficente Israelita Brasileira Hospital Albert Einstein
Priority to BR102018071293A priority Critical patent/BR102018071293A2/en
Priority to PCT/BR2019/050444 priority patent/WO2020077426A1/en
Publication of BR102018071293A2 publication Critical patent/BR102018071293A2/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01T—MEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T1/00—Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
    • G01T1/16—Measuring radiation intensity
    • G01T1/169—Exploration, location of contaminated surface areas
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/58—Testing, adjusting or calibrating thereof
    • A61B6/582—Calibration
    • A61B6/583—Calibration using calibration phantoms

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Biomedical Technology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Optics & Photonics (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Analysis (AREA)

Abstract

a presente invenção refere-se a um método para automação de teste de resolução em imagens digitais que compreende: prover uma imagem digital com pelo menos uma estrutura que deve ser discernida na imagem; extrair características dos dados da imagem digital, as referidas características incluindo características relacionadas à pelo menos uma estrutura que deve ser discernida; e classificar a pelo menos estrutura como resolvida ou não resolvida através de um algoritmo de aprendizagem de máquina, em que o algoritmo foi treinado com base em preditores de resolubilidade que incluem características extraídas de uma base de dados de imagem de estruturas previamente obtidos e dados de classificação dessas estruturas como resolvida ou não resolvida, sendo tal classificação realizada por pelo menos um operador humano.the present invention relates to a method for automating resolution testing on digital images which comprises: providing a digital image with at least one structure that must be discerned in the image; extract characteristics from the digital image data, said characteristics including characteristics related to at least one structure that must be discerned; and classify the at least structure as resolved or not resolved through a machine learning algorithm, in which the algorithm was trained based on resolvability predictors that include characteristics extracted from a previously obtained structures image database and data from classification of these structures as resolved or not resolved, such classification being performed by at least one human operator.

BR102018071293A 2018-10-16 2018-10-16 method for automating resolution testing on digital images BR102018071293A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
BR102018071293A BR102018071293A2 (en) 2018-10-16 2018-10-16 method for automating resolution testing on digital images
PCT/BR2019/050444 WO2020077426A1 (en) 2018-10-16 2019-10-16 Method for automating resolution testing in digital images

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
BR102018071293A BR102018071293A2 (en) 2018-10-16 2018-10-16 method for automating resolution testing on digital images

Publications (1)

Publication Number Publication Date
BR102018071293A2 true BR102018071293A2 (en) 2020-04-28

Family

ID=70282877

Family Applications (1)

Application Number Title Priority Date Filing Date
BR102018071293A BR102018071293A2 (en) 2018-10-16 2018-10-16 method for automating resolution testing on digital images

Country Status (2)

Country Link
BR (1) BR102018071293A2 (en)
WO (1) WO2020077426A1 (en)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7680311B2 (en) * 2005-04-15 2010-03-16 Carestream Health, Inc. System aid for digital radiographic image quality verification
US8270695B2 (en) * 2008-10-07 2012-09-18 Carestream Health, Inc. Diagnostic image processing with automatic self image quality validation
WO2015134662A2 (en) * 2014-03-04 2015-09-11 The Trustees Of Columbia University In The City Of New York Regularization of images
US9916525B2 (en) * 2015-10-13 2018-03-13 Siemens Healthcare Gmbh Learning-based framework for personalized image quality evaluation and optimization

Also Published As

Publication number Publication date
WO2020077426A1 (en) 2020-04-23

Similar Documents

Publication Publication Date Title
WO2015200110A3 (en) Techniques for machine language translation of text from an image based on non-textual context information from the image
WO2018208869A3 (en) A learning based approach for aligning images acquired with different modalities
BR112018077294A2 (en) systems and methods for identifying corresponding content
Kovaleva et al. Psychometric properties of the BFI-K: A cross-validation study.
SG10201909389VA (en) Data quality analysis
BR112018072122A2 (en) plant disease detection system, computer-implemented method for detecting plant diseases and plant disease detection computer program product
BR112018003372A2 (en) method for providing staged shaving recommendations, computer program executable on a processing unit, personal care system, and shaving appliance
BR112015005989A2 (en) computer readable method, system, apparatus and non-transient media
ATE477558T1 (en) FEATURES-BASED REGISTRATION OF SECTIONAL PICTURES
BR112015018561A2 (en) image processing device that can record at least two images of an object, method for recording at least two images of an object, and medical imaging equipment
CO2018013670A2 (en) Image validation automation
BR112017008901A2 (en) computer-implemented method, system, device and non-transient computer readable medium
BR112015016080A2 (en) communication message recognition method and device
BR112014019162A8 (en) IMAGING SYSTEM THAT GENERATES A PATIENT IMAGE SET, METHOD FOR GENERATION OF A PATIENT IMAGE SET, AND READABLE MEDIUM ON A NON-TRANSIENT COMPUTER
BR112017004575A2 (en) method of estimating current or future behavior of an entity or process and apparatus to obtain estimates
BR112017010167A2 (en) authentication and transactions on a three-dimensional image magnification display device
BR112017021517A2 (en) methods for verifying the authenticity of a printed item and for copying and data processing terminal?
BR112018000711A2 (en) method for processing optical coherence tomography (oct) scanning through the skin of an individual, method and equipment for processing optical coherence tomography (oct) imaging
BR112017019841A2 (en) tissue sample analysis technique
EP2819026A3 (en) Method and apparatus for generating a journal
BR112017021318A2 (en) computer-implemented method, and computer-readable media
AR117141A1 (en) METHOD TO ACCURATELY RECOGNIZE THE TYPE OF CROWD INCLUDED IN AN IMAGE AND THE STRUCTURE INFORMATION THAT DESCRIBES THE STRUCTURE OF THE CROWD, AND PROCESSING APPARATUS
BR102018071293A2 (en) method for automating resolution testing on digital images
EA202192620A1 (en) DYNAMIC VIRTUAL COPIES OF PRODUCTION FACILITIES
CL2018003538A1 (en) Methods, devices and computer programs to generate an authenticity measurement of an object

Legal Events

Date Code Title Description
B03A Publication of a patent application or of a certificate of addition of invention [chapter 3.1 patent gazette]
B08F Application dismissed because of non-payment of annual fees [chapter 8.6 patent gazette]

Free format text: REFERENTE A 5A ANUIDADE.

B08K Patent lapsed as no evidence of payment of the annual fee has been furnished to inpi [chapter 8.11 patent gazette]

Free format text: REFERENTE AO DESPACHO 8.6 PUBLICADO NA RPI 2744 DE 08/08/2023.