JPWO2020203552A1 - - Google Patents

Info

Publication number
JPWO2020203552A1
JPWO2020203552A1 JP2021511869A JP2021511869A JPWO2020203552A1 JP WO2020203552 A1 JPWO2020203552 A1 JP WO2020203552A1 JP 2021511869 A JP2021511869 A JP 2021511869A JP 2021511869 A JP2021511869 A JP 2021511869A JP WO2020203552 A1 JPWO2020203552 A1 JP WO2020203552A1
Authority
JP
Japan
Legal status (The legal status 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 status listed.)
Granted
Application number
JP2021511869A
Other versions
JP7187680B2 (ja
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 filed Critical
Publication of JPWO2020203552A1 publication Critical patent/JPWO2020203552A1/ja
Application granted granted Critical
Publication of JP7187680B2 publication Critical patent/JP7187680B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • 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
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/504—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of blood vessels, e.g. by angiography
    • 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
    • G01T1/161—Applications in the field of nuclear medicine, e.g. in vivo counting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2431—Multiple classes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4046—Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
    • 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
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5205—Devices using data or image processing specially adapted for radiation diagnosis involving processing of raw data to produce diagnostic data
    • 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
    • G06T2207/10081—Computed x-ray tomography [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
    • G06T2207/20—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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • 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
    • G06T2207/30056—Liver; Hepatic
    • 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
    • G06T2207/30061—Lung
    • 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
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • 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
    • G06T2207/30172—Centreline of tubular or elongated structure
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Radiology & Medical Imaging (AREA)
  • High Energy & Nuclear Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biophysics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Optics & Photonics (AREA)
  • Surgery (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Pathology (AREA)
  • Software Systems (AREA)
  • Dentistry (AREA)
  • Vascular Medicine (AREA)
  • Quality & Reliability (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Image Analysis (AREA)
JP2021511869A 2019-03-29 2020-03-25 線構造抽出装置及び方法、プログラム並びに学習済みモデル Active JP7187680B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2019066982 2019-03-29
JP2019066982 2019-03-29
PCT/JP2020/013334 WO2020203552A1 (ja) 2019-03-29 2020-03-25 線構造抽出装置及び方法、プログラム並びに学習済みモデル

Publications (2)

Publication Number Publication Date
JPWO2020203552A1 true JPWO2020203552A1 (ja) 2020-10-08
JP7187680B2 JP7187680B2 (ja) 2022-12-12

Family

ID=72668274

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021511869A Active JP7187680B2 (ja) 2019-03-29 2020-03-25 線構造抽出装置及び方法、プログラム並びに学習済みモデル

Country Status (4)

Country Link
US (1) US11961276B2 (ja)
EP (1) EP3951433A4 (ja)
JP (1) JP7187680B2 (ja)
WO (1) WO2020203552A1 (ja)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023032480A1 (ja) * 2021-08-31 2023-03-09 富士フイルム株式会社 医療画像処理装置、肝区域分割方法およびプログラム
CN114926753B (zh) * 2022-06-16 2023-10-13 无锡慧眼人工智能科技有限公司 一种海量图像条件下的快速目标场景信息提取方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018534694A (ja) * 2015-11-04 2018-11-22 エヌイーシー ラボラトリーズ アメリカ インクＮＥＣ Ｌａｂｏｒａｔｏｒｉｅｓ Ａｍｅｒｉｃａ， Ｉｎｃ． 物体検出のためのサブカテゴリ認識機能付き畳み込みニューラルネットワーク
JP2019500110A (ja) * 2015-12-18 2019-01-10 ザ リージェンツ オブ ザ ユニバーシティ オブ カリフォルニア 頭部コンピュータ断層撮影における緊急性の特徴の解釈及び定量化
US10198671B1 (en) * 2016-11-10 2019-02-05 Snap Inc. Dense captioning with joint interference and visual context

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9858496B2 (en) 2016-01-20 2018-01-02 Microsoft Technology Licensing, Llc Object detection and classification in images
US10206646B2 (en) * 2016-03-10 2019-02-19 Siemens Healthcare Gmbh Method and system for extracting centerline representation of vascular structures in medical images via optimal paths in computational flow fields
EP3596449A4 (en) * 2017-03-14 2021-01-06 University of Manitoba DETECTION OF STRUCTURAL DEFECTS USING AUTOMATIC LEARNING ALGORITHMS
US10685438B2 (en) * 2017-07-17 2020-06-16 Siemens Healthcare Gmbh Automated measurement based on deep learning

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018534694A (ja) * 2015-11-04 2018-11-22 エヌイーシー ラボラトリーズ アメリカ インクＮＥＣ Ｌａｂｏｒａｔｏｒｉｅｓ Ａｍｅｒｉｃａ， Ｉｎｃ． 物体検出のためのサブカテゴリ認識機能付き畳み込みニューラルネットワーク
JP2019500110A (ja) * 2015-12-18 2019-01-10 ザ リージェンツ オブ ザ ユニバーシティ オブ カリフォルニア 頭部コンピュータ断層撮影における緊急性の特徴の解釈及び定量化
US10198671B1 (en) * 2016-11-10 2019-02-05 Snap Inc. Dense captioning with joint interference and visual context

Also Published As

Publication number Publication date
US20220004797A1 (en) 2022-01-06
JP7187680B2 (ja) 2022-12-12
WO2020203552A1 (ja) 2020-10-08
EP3951433A4 (en) 2022-05-25
US11961276B2 (en) 2024-04-16
EP3951433A1 (en) 2022-02-09

Similar Documents

Publication Publication Date Title
BR112021017339A2 (ja)
BR112019016141A2 (ja)
AU2020104490A4 (ja)
BR112019016142A2 (ja)
BR112019016138A2 (ja)
BR112021017234A2 (ja)
BR112021017355A2 (ja)
BR112021017173A2 (ja)
BR112021017083A2 (ja)
BR112021017637A2 (ja)
BR112021021629A2 (ja)
BR112021018452A2 (ja)
JPWO2020203552A1 (ja)
BR112021018084A2 (ja)
BR112021018093A2 (ja)
BR112021017703A2 (ja)
BR112021013944A2 (ja)
BR112021018484A2 (ja)
BR112021015080A2 (ja)
BR112021017949A2 (ja)
BR112021017983A2 (ja)
BR112021016205A2 (ja)
BR112021016996A2 (ja)
BR112021017010A2 (ja)
AT524962A5 (ja)

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20211020

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20211020

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20220902

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20221028

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20221114

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20221130

R150 Certificate of patent or registration of utility model

Ref document number: 7187680

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150