Processing

Please wait...

Settings

Settings

Goto Application

1. CN111344800 - Training model

Office China
Application Number 201880072915.X
Application Date 30.08.2018
Publication Number 111344800
Publication Date 26.06.2020
Publication Kind A
IPC
G16H 30/40
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.
皇家飞利浦有限公司
Inventors VAN DEN HEUVEL TEUN
T·范登赫费尔
GEBRE BINYAM
B·G·格布雷
Agents 永新专利商标代理有限公司 72002
Priority Data 62/557,892 13.09.2017 US
Title
(EN) Training model
(ZH) 训练模型
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 usedto 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).

(ZH)
提供了用于训练模型的计算机实施的方法(200)和系统。接收第一用户输入以在数据的部分中注释第一参数(202)。使用第一模型以基于针对所述第一参数的所接收的第一用户输入来预测针对数据的所述部分的至少一个其他参数的注释(204)。使用所注释的第一参数、所述至少一个其他参数的所预测的注释以及数据的所述部分作为训练数据来训练第二模型(206)。

Also published as