EP 3791325 A4 20220413 - SYSTEMS AND METHODS FOR DETECTING AN INDICATION OF A VISUAL FINDING TYPE IN AN ANATOMICAL IMAGE

Title (en)

SYSTEMS AND METHODS FOR DETECTING AN INDICATION OF A VISUAL FINDING TYPE IN AN ANATOMICAL IMAGE

Title (de)

SYSTEME UND VERFAHREN ZUR ERKENNUNG EINER ANZEIGE EINES VISUELLEN BEFUNDS IN EINEM ANATOMISCHEN BILD

Title (fr)

SYSTÈMES ET PROCÉDÉS DE DÉTECTION D'UNE INDICATION D'UN TYPE DE RECHERCHE VISUELLE DANS UNE IMAGE ANATOMIQUE

Publication

EP 3791325 A4 20220413 (EN)

Application

EP 19800738 A 20190507

Priority

US 201815972912 A 20180507
US 201916269619 A 20190207
US 201916269633 A 20190207
IB 2019053724 W 20190507

Abstract (en)

[origin: EP3567525A1] There is provided a method comprising: providing two anatomical images 104 of a target individual, each captured at a unique orientation of the target individual, inputting first and second anatomical images respectively into a first and second convolutional neural network (CNN) of a classifier to respectively output first and second feature vectors, inputting a concatenation of the first and second feature vectors into a fully connected layer of the classifier 110, and computing an indication of distinct visual finding(s) 112 present in the anatomical images by the fully connected layer, wherein the statistical classifier is trained on a training dataset including two anatomical images of each respective sample individual, each image captured at a respective unique orientation of the target individual, and a tag created based on an analysis that maps respective individual sentences of a text based radiology report to one of multiple indications of visual findings.

IPC 8 full level

G06K 9/62 (2022.01)

CPC (source: EP US)

G06F 18/256 (2023.01 - EP US); G06V 10/454 (2022.01 - EP US); G06V 2201/03 (2022.01 - EP)

Citation (search report)

[I] CHERMAN EVERTON ALVARES ET AL: "Multi-label Problem Transformation Methods: A Case Study", CLEI ELECTRONIC JOURNAL, 1 April 2011 (2011-04-01), pages 4 - 4, XP055890951, Retrieved from the Internet <URL:http://www.scielo.edu.uy/pdf/cleiej/v14n1/v14n1a05.pdf> [retrieved on 20220214], DOI: 10.19153/cleiej.14.1.4
[I] YUNCHAO WEI ET AL: "CNN: Single-label to Multi-label", 9 June 2014 (2014-06-09), pages 1 - 14, XP055404290, Retrieved from the Internet <URL:https://arxiv.org/pdf/1406.5726.pdf> [retrieved on 20170906], DOI: 10.1109/TPAMI.2015.2491929
[Y] DONG YUXI ET AL: "Learning to Read Chest X-Ray Images from 16000+ Examples Using CNN", 2017 IEEE/ACM INTERNATIONAL CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES (CHASE), IEEE, 17 July 2017 (2017-07-17), pages 51 - 57, XP033143653, DOI: 10.1109/CHASE.2017.59
[Y] FELIX MAYER ET AL: "Transfer Learning for Data Triage Applications", ELECTRONIC IMAGING, vol. 2018, no. 2, 1 January 2018 (2018-01-01), US, pages 175 - 1, XP055651802, ISSN: 2470-1173, DOI: 10.2352/ISSN.2470-1173.2018.2.VIPC-175
[A] XIAOSONG WANG ET AL: "ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases", PROCEEDINGS OF THE IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION-ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 5 May 2017 (2017-05-05), pages 1 - 19, XP081148506, DOI: 10.1109/CVPR.2017.369
See references of WO 2019215604A1

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

DOCDB simple family (publication)

EP 3567525 A1 20191113; DE 202019005911 U1 20230419; EP 3791310 A1 20210317; EP 3791310 A4 20220330; EP 3791325 A1 20210317; EP 3791325 A4 20220413; JP 2019195627 A 20191114; WO 2019215604 A1 20191114; WO 2019215605 A1 20191114; WO 2019215606 A1 20191114

DOCDB simple family (application)

EP 19173136 A 20190507; DE 202019005911 U 20190507; EP 19800738 A 20190507; EP 19800865 A 20190507; IB 2019053724 W 20190507; IB 2019053725 W 20190507; IB 2019053726 W 20190507; JP 2019087284 A 20190507