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1. WO2020062262 - SYSTEMS AND METHODS FOR GENERATING A NEURAL NETWORK MODEL FOR IMAGE PROCESSING

Publication Number WO/2020/062262
Publication Date 02.04.2020
International Application No. PCT/CN2018/109135
International Filing Date 30.09.2018
IPC
G06T 7/10 2017.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
10Segmentation; Edge detection
CPC
G06K 2209/05
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
2209Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
05Recognition of patterns in medical or anatomical images
G06K 9/6256
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
6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
G06K 9/6262
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
G06K 9/6271
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
6267Classification techniques
6268relating to the classification paradigm, e.g. parametric or non-parametric approaches
627based on distances between the pattern to be recognised and training or reference patterns
6271based on distances to prototypes
G06N 3/0454
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0454using a combination of multiple neural nets
G06N 3/049
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
049Temporal neural nets, e.g. delay elements, oscillating neurons, pulsed inputs
Applicants
  • SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. [CN]/[CN]
Inventors
  • BAO, Yuan
  • QUAN, Guotao
Agents
  • METIS IP (CHENGDU) LLC
Priority Data
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) SYSTEMS AND METHODS FOR GENERATING A NEURAL NETWORK MODEL FOR IMAGE PROCESSING
(FR) SYSTÈMES ET PROCÉDÉS PERMETTANT DE GÉNÉRER UN MODÈLE DE RÉSEAU NEURONAL POUR UN TRAITEMENT D'IMAGE
Abstract
(EN)
The disclosure relates to a system and a method for generating a neural network model for image processing by interacting with at least one client terminal. The method may include receiving via a network, a plurality of first training samples from the at least one client terminal. The method may also include training a first neural network model based on the plurality of first training samples to generate a second neural network model. The method may further include transmitting, via the network, the second neural network model to the at least one client terminal.
(FR)
L'invention se rapporte à un système et à un procédé permettant de générer un modèle de réseau neuronal pour un traitement d'image par interaction avec au moins un terminal client. Le procédé peut consister à recevoir, par le biais d'un réseau, une pluralité de premiers échantillons d'apprentissage en provenance du terminal ou des terminaux client(s). Le procédé peut également consister à former un premier modèle de réseau neuronal sur la base de la pluralité de premiers échantillons d'apprentissage pour générer un second modèle de réseau neuronal. Le procédé peut en outre consister à transmettre, par le biais du réseau, le second modèle de réseau neuronal au terminal ou aux terminaux client(s).
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