BR102018071293A2 - method for automating resolution testing on digital images - Google Patents
method for automating resolution testing on digital images Download PDFInfo
- 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
Links
- 238000000034 method Methods 0.000 title abstract 2
- 238000010801 machine learning Methods 0.000 abstract 1
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 for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/58—Testing, adjusting or calibrating apparatus or devices for radiation diagnosis
- A61B6/582—Calibration
- A61B6/583—Calibration using calibration phantoms
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.
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)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2006113646A2 (en) * | 2005-04-15 | 2006-10-26 | Eastman Kodak Company | System 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 |
-
2018
- 2018-10-16 BR BR102018071293A patent/BR102018071293A2/en not_active IP Right Cessation
-
2019
- 2019-10-16 WO PCT/BR2019/050444 patent/WO2020077426A1/en active Application Filing
Also Published As
Publication number | Publication date |
---|---|
WO2020077426A1 (en) | 2020-04-23 |
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Date | Code | Title | Description |
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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. |
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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. |