WO2016059493A1 - Classification of a health state of tissue of interest based on longitudinal features - Google Patents
Classification of a health state of tissue of interest based on longitudinal features Download PDFInfo
- Publication number
- WO2016059493A1 WO2016059493A1 PCT/IB2015/057433 IB2015057433W WO2016059493A1 WO 2016059493 A1 WO2016059493 A1 WO 2016059493A1 IB 2015057433 W IB2015057433 W IB 2015057433W WO 2016059493 A1 WO2016059493 A1 WO 2016059493A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- tissue
- interest
- images
- health state
- pair
- Prior art date
Links
Classifications
-
- 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
- A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computerised tomographs
- A61B6/032—Transmission computed tomography [CT]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
- A61B5/0035—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for acquisition of images from more than one imaging mode, e.g. combining MRI and optical tomography
-
- 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
- A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computerised tomographs
- A61B6/037—Emission tomography
-
- 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
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
- A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06T7/0014—Biomedical image inspection using an image reference approach
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06T7/0014—Biomedical image inspection using an image reference approach
- G06T7/0016—Biomedical image inspection using an image reference approach involving temporal comparison
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7475—User input or interface means, e.g. keyboard, pointing device, joystick
- A61B5/748—Selection of a region of interest, e.g. using a graphics tablet
- A61B5/7485—Automatic selection of region of interest
-
- 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
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
- A61B6/5229—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image
- A61B6/5235—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image combining images from the same or different ionising radiation imaging techniques, e.g. PET and CT
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
Abstract
Description
Claims
Priority Applications (7)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/516,512 US10219767B2 (en) | 2014-10-13 | 2015-09-29 | Classification of a health state of tissue of interest based on longitudinal features |
BR112017007383A BR112017007383A2 (en) | 2014-10-13 | 2015-09-29 | method, and computing system |
CN201580055357.2A CN107072613B (en) | 2014-10-13 | 2015-09-29 | Classification of health status of tissue of interest based on longitudinal features |
JP2017513516A JP6865678B2 (en) | 2014-10-13 | 2015-09-29 | Classification of the health status of the tissue of interest based on longitudinal characteristics |
EP15778756.5A EP3206565A1 (en) | 2014-10-13 | 2015-09-29 | Classification of a health state of tissue of interest based on longitudinal features |
RU2017116859A RU2017116859A (en) | 2014-10-13 | 2015-09-29 | CLASSIFICATION OF THE STATUS OF THE TESTED FABRIC BASED ON LONGITUDINAL SIGNS |
US16/252,664 US20190150870A1 (en) | 2014-10-13 | 2019-01-20 | Classification of a health state of tissue of interest based on longitudinal features |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201462062977P | 2014-10-13 | 2014-10-13 | |
US62/062,977 | 2014-10-13 |
Related Child Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US15/516,512 A-371-Of-International US10219767B2 (en) | 2014-10-13 | 2015-09-29 | Classification of a health state of tissue of interest based on longitudinal features |
US16/252,664 Continuation US20190150870A1 (en) | 2014-10-13 | 2019-01-20 | Classification of a health state of tissue of interest based on longitudinal features |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2016059493A1 true WO2016059493A1 (en) | 2016-04-21 |
Family
ID=54292866
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IB2015/057433 WO2016059493A1 (en) | 2014-10-13 | 2015-09-29 | Classification of a health state of tissue of interest based on longitudinal features |
Country Status (7)
Country | Link |
---|---|
US (2) | US10219767B2 (en) |
EP (1) | EP3206565A1 (en) |
JP (1) | JP6865678B2 (en) |
CN (1) | CN107072613B (en) |
BR (1) | BR112017007383A2 (en) |
RU (1) | RU2017116859A (en) |
WO (1) | WO2016059493A1 (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3410393A1 (en) * | 2017-06-01 | 2018-12-05 | Siemens Healthcare GmbH | Comparing medical images |
WO2019073087A1 (en) * | 2017-10-13 | 2019-04-18 | Optellum Limited | System, method and apparatus for assisting a determination of medical images |
CN111784705A (en) * | 2020-06-24 | 2020-10-16 | 上海联影医疗科技有限公司 | Method, device and equipment for delineating region of interest and storage medium |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11625597B2 (en) * | 2017-11-15 | 2023-04-11 | Canon Medical Systems Corporation | Matching network for medical image analysis |
CN109376419B (en) * | 2018-10-16 | 2023-12-22 | 北京字节跳动网络技术有限公司 | Data model generation method and device, electronic equipment and readable medium |
US10811135B2 (en) * | 2018-12-27 | 2020-10-20 | General Electric Company | Systems and methods to determine disease progression from artificial intelligence detection output |
DE102019211536A1 (en) * | 2019-08-01 | 2021-02-04 | Siemens Healthcare Gmbh | Automatic localization of a structure |
CN112472346B (en) * | 2020-11-26 | 2021-12-24 | 南通市第二人民医院 | Gum protection method and device based on big data |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6466687B1 (en) * | 1997-02-12 | 2002-10-15 | The University Of Iowa Research Foundation | Method and apparatus for analyzing CT images to determine the presence of pulmonary tissue pathology |
WO2005081168A2 (en) * | 2004-02-03 | 2005-09-01 | Siemens Medical Solutions Usa, Inc. | Systems and methods for automated diagnosis and decision support for heart related diseases and conditions |
US20110173027A1 (en) * | 2008-10-10 | 2011-07-14 | Koninklijke Philips Electronics N.V. | Health-risk metric determination and/or presentation |
US20110274338A1 (en) * | 2010-05-03 | 2011-11-10 | Sti Medical Systems, Llc | Image analysis for cervical neoplasia detection and diagnosis |
US20120081386A1 (en) * | 2009-06-10 | 2012-04-05 | Koninklijke Philips Electronics N.V. | Visualization apparatus for visualizing an image data set |
WO2014102661A2 (en) * | 2012-12-27 | 2014-07-03 | Koninklijke Philips N.V. | Computer-aided identification of a tissue of interest |
Family Cites Families (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7211247B2 (en) | 2001-04-09 | 2007-05-01 | University Of Southern California | Lentivirus vectors for gene transfer to alveolar epithelial cells |
US6992280B2 (en) * | 2002-04-04 | 2006-01-31 | Synarc, Inc. | Test object for calibration of imaging measurements of mammalian skeletal joints |
US7418123B2 (en) | 2002-07-12 | 2008-08-26 | University Of Chicago | Automated method and system for computerized image analysis for prognosis |
US20040122708A1 (en) * | 2002-12-18 | 2004-06-24 | Avinash Gopal B. | Medical data analysis method and apparatus incorporating in vitro test data |
WO2005079306A2 (en) | 2004-02-13 | 2005-09-01 | University Of Chicago | Method, system, and computer software product for feature-based correlation of lesions from multiple images |
CN100435736C (en) * | 2006-12-13 | 2008-11-26 | 林井副 | Method for displaying and imaging human body chorda strip organization in a same layer based on multi-layer helix CT |
RU2009129139A (en) * | 2006-12-29 | 2011-02-10 | Конинклейке Филипс Электроникс, Н.В. (Nl) | IMPROVED REGISTRATION OF IMAGES AND METHODS FOR COMPENSING INTRAOPERATIVE MOVEMENT IN OPERATED INTERVENTION CONTROLLED BY IMAGES |
WO2008123969A1 (en) | 2007-04-02 | 2008-10-16 | The Trustees Of The University Of Pennsylvania | Combined feature ensemble mutual information image registration |
WO2009058915A1 (en) | 2007-10-29 | 2009-05-07 | The Trustees Of The University Of Pennsylvania | Computer assisted diagnosis (cad) of cancer using multi-functional, multi-modal in-vivo magnetic resonance spectroscopy (mrs) and imaging (mri) |
EP2344982A4 (en) * | 2008-10-10 | 2012-09-19 | Sti Medical Systems Llc | Methods for tissue classification in cervical imagery |
US9526429B2 (en) * | 2009-02-06 | 2016-12-27 | Resmed Sensor Technologies Limited | Apparatus, system and method for chronic disease monitoring |
WO2010115885A1 (en) | 2009-04-03 | 2010-10-14 | Oslo Universitetssykehus Hf | Predictive classifier score for cancer patient outcome |
US20110129129A1 (en) * | 2009-11-30 | 2011-06-02 | General Electric Company | System and method for integrated quantifiable detection, diagnosis and monitoring of disease using population related data for determining a disease signature |
US10267882B2 (en) * | 2010-10-13 | 2019-04-23 | Toshiba Medical Systems Corporation | MRI T1 image-guided tissue diagnostics |
US9888876B2 (en) | 2012-03-21 | 2018-02-13 | The Johns Hopkins University | Method of analyzing multi-sequence MRI data for analysing brain abnormalities in a subject |
JP6017284B2 (en) * | 2012-11-30 | 2016-10-26 | 東芝メディカルシステムズ株式会社 | Medical diagnostic imaging equipment |
-
2015
- 2015-09-29 US US15/516,512 patent/US10219767B2/en active Active
- 2015-09-29 BR BR112017007383A patent/BR112017007383A2/en not_active Application Discontinuation
- 2015-09-29 CN CN201580055357.2A patent/CN107072613B/en active Active
- 2015-09-29 JP JP2017513516A patent/JP6865678B2/en active Active
- 2015-09-29 RU RU2017116859A patent/RU2017116859A/en unknown
- 2015-09-29 EP EP15778756.5A patent/EP3206565A1/en not_active Withdrawn
- 2015-09-29 WO PCT/IB2015/057433 patent/WO2016059493A1/en active Application Filing
-
2019
- 2019-01-20 US US16/252,664 patent/US20190150870A1/en not_active Abandoned
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6466687B1 (en) * | 1997-02-12 | 2002-10-15 | The University Of Iowa Research Foundation | Method and apparatus for analyzing CT images to determine the presence of pulmonary tissue pathology |
WO2005081168A2 (en) * | 2004-02-03 | 2005-09-01 | Siemens Medical Solutions Usa, Inc. | Systems and methods for automated diagnosis and decision support for heart related diseases and conditions |
US20110173027A1 (en) * | 2008-10-10 | 2011-07-14 | Koninklijke Philips Electronics N.V. | Health-risk metric determination and/or presentation |
US20120081386A1 (en) * | 2009-06-10 | 2012-04-05 | Koninklijke Philips Electronics N.V. | Visualization apparatus for visualizing an image data set |
US20110274338A1 (en) * | 2010-05-03 | 2011-11-10 | Sti Medical Systems, Llc | Image analysis for cervical neoplasia detection and diagnosis |
WO2014102661A2 (en) * | 2012-12-27 | 2014-07-03 | Koninklijke Philips N.V. | Computer-aided identification of a tissue of interest |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3410393A1 (en) * | 2017-06-01 | 2018-12-05 | Siemens Healthcare GmbH | Comparing medical images |
US10902597B2 (en) | 2017-06-01 | 2021-01-26 | Siemens Healthcare Gmbh | Comparing medical images |
WO2019073087A1 (en) * | 2017-10-13 | 2019-04-18 | Optellum Limited | System, method and apparatus for assisting a determination of medical images |
GB2569427B (en) * | 2017-10-13 | 2021-12-15 | Optellum Ltd | System, method and apparatus for assisting a determination of medical images |
US11594005B2 (en) | 2017-10-13 | 2023-02-28 | Optellum Limited | System, method and apparatus for assisting a determination of medical images |
CN111784705A (en) * | 2020-06-24 | 2020-10-16 | 上海联影医疗科技有限公司 | Method, device and equipment for delineating region of interest and storage medium |
CN111784705B (en) * | 2020-06-24 | 2024-04-02 | 上海联影医疗科技股份有限公司 | Method, device, equipment and storage medium for delineating region of interest |
Also Published As
Publication number | Publication date |
---|---|
RU2017116859A (en) | 2018-11-15 |
US10219767B2 (en) | 2019-03-05 |
EP3206565A1 (en) | 2017-08-23 |
BR112017007383A2 (en) | 2018-01-16 |
JP2017532998A (en) | 2017-11-09 |
CN107072613A (en) | 2017-08-18 |
US20190150870A1 (en) | 2019-05-23 |
JP6865678B2 (en) | 2021-04-28 |
CN107072613B (en) | 2021-02-26 |
US20180220985A1 (en) | 2018-08-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fujita | AI-based computer-aided diagnosis (AI-CAD): the latest review to read first | |
Napel et al. | Quantitative imaging of cancer in the postgenomic era: Radio (geno) mics, deep learning, and habitats | |
Sim et al. | Deep convolutional neural network–based software improves radiologist detection of malignant lung nodules on chest radiographs | |
US20190150870A1 (en) | Classification of a health state of tissue of interest based on longitudinal features | |
Bi et al. | Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies | |
US11017896B2 (en) | Radiomic features of prostate bi-parametric magnetic resonance imaging (BPMRI) associate with decipher score | |
US20180240235A1 (en) | Convolutional neural network for segmentation of medical anatomical images | |
JP6220310B2 (en) | Medical image information system, medical image information processing method, and program | |
US9959486B2 (en) | Voxel-level machine learning with or without cloud-based support in medical imaging | |
EP2693951B1 (en) | Image analysis for specific objects | |
US20160321427A1 (en) | Patient-Specific Therapy Planning Support Using Patient Matching | |
JP5954769B2 (en) | Medical image processing apparatus, medical image processing method, and abnormality detection program | |
US11227391B2 (en) | Image processing apparatus, medical image diagnostic apparatus, and program | |
EP3375376B1 (en) | Source of abdominal pain identification in medical imaging | |
CN106796621B (en) | Image report annotation recognition | |
EP3047415A1 (en) | Biopsy-free detection and staging of cancer using a virtual staging score | |
Peña-Solórzano et al. | Findings from machine learning in clinical medical imaging applications–Lessons for translation to the forensic setting | |
Saeed et al. | MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models | |
Kuttan et al. | Review on Computer Aided Breast Cancer Detection and Diagnosis using Machine Learning Methods on Mammogram Image | |
Singh et al. | The value in artificial intelligence | |
Akpan et al. | XAI for medical image segmentation in medical decision support systems | |
US20210407674A1 (en) | Method and arrangement for identifying similar pre-stored medical datasets | |
Basta | Convolutional Neural Networks for the Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors | |
CN113851202A (en) | Method and arrangement for identifying similar pre-stored medical data sets | |
Shah | An Automated Software for Abnormality Detection on Thoracic Chest CT Scans |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 15778756 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 2017513516 Country of ref document: JP Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: 15516512 Country of ref document: US |
|
REEP | Request for entry into the european phase |
Ref document number: 2015778756 Country of ref document: EP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2015778756 Country of ref document: EP |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
REG | Reference to national code |
Ref country code: BR Ref legal event code: B01A Ref document number: 112017007383 Country of ref document: BR |
|
ENP | Entry into the national phase |
Ref document number: 2017116859 Country of ref document: RU Kind code of ref document: A |
|
ENP | Entry into the national phase |
Ref document number: 112017007383 Country of ref document: BR Kind code of ref document: A2 Effective date: 20170410 |