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1. WO2019052810 - TRAINING A MODEL

Publication Number WO/2019/052810
Publication Date 21.03.2019
International Application No. PCT/EP2018/073286
International Filing Date 30.08.2018
IPC
G16H 30/40 2018.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
40for processing medical images, e.g. editing
CPC
G06K 9/6264
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6262Validation, performance evaluation or active pattern learning techniques
6263based on the feedback of a supervisor
6264the supervisor being an automated "intelligent" module, e.g. "intelligent oracle"
G16H 30/40
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
40for processing medical images, e.g. editing
Applicants
  • KONINKLIJKE PHILIPS N.V. [NL]/[NL]
Inventors
  • VAN DEN HEUVEL, Teun
  • GEBRE, Binyam, Gebrekidan
Agents
  • VAN OUDHEUSDEN-PERSET, Laure E.
  • DE HAAN, Poul, Erik
Priority Data
62/557,89213.09.2017US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) TRAINING A MODEL
(FR) ENTRAÎNEMENT D'UN MODÈLE
Abstract
(EN)
There is provided a computer-implemented method (200) and system for training a model. A first user input is received to annotate a first parameter in a portion of data (202). The first model is used to predict an annotation for at least one other parameter of the portion of data based on the received first user input for the first parameter (204). The annotated first parameter, the predicted annotation of the at least one other parameter and the portion of data are used as training data to train a second model (206).10
(FR)
L'invention concerne un procédé (200) et un système mis en œuvre par ordinateur pour entraîner un modèle. Une première entrée d'utilisateur est reçue pour annoter un premier paramètre dans une partie de données (202). Le premier modèle est utilisé pour prédire une annotation pour au moins un autre paramètre de la partie de données sur la base de la première entrée d'utilisateur reçue pour le premier paramètre (204). Le premier paramètre annoté, l'annotation prédite du ou des autres paramètres et la partie de données sont utilisés en tant que données d'apprentissage pour entraîner un second modèle (206).10
Also published as
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