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1. WO2022089221 - MEDICAL IMAGE SEGMENTATION METHOD AND APPARATUS, AND DEVICE, SYSTEM AND COMPUTER STORAGE MEDIUM

Publication Number WO/2022/089221
Publication Date 05.05.2022
International Application No. PCT/CN2021/124041
International Filing Date 15.10.2021
IPC
G06T 7/11 2017.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
10Segmentation; Edge detection
11Region-based segmentation
G06K 9/62 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR 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
CPC
G06K 9/6223
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
6218Clustering techniques
622Non-hierarchical partitioning techniques
6221based on statistics
6223with a fixed number of clusters, e.g. K-means clustering
G06T 2207/10072
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
10Image acquisition modality
10072Tomographic images
G06T 2207/20081
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20081Training; Learning
G06T 2207/20084
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20084Artificial neural networks [ANN]
G06T 2207/20101
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20092Interactive image processing based on input by user
20101Interactive definition of point of interest, landmark or seed
G06T 2207/20156
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20112Image segmentation details
20156Automatic seed setting
Applicants
  • 苏州瑞派宁科技有限公司 RAYCAN TECHNOLOGY CO., LTD. (SUZHOU) [CN]/[CN]
Inventors
  • 高杰临 GAO, Jielin
  • 黎静 LI, Jing
  • 邓胡川 DENG, Huchuan
  • 丁瑞鹏 DING, Ruipeng
Agents
  • 北京金知睿知识产权代理事务所(普通合伙) KINGSRIGHT IP ATTORNEYS
Priority Data
202011188299.X30.10.2020CN
Publication Language Chinese (zh)
Filing Language Chinese (ZH)
Designated States
Title
(EN) MEDICAL IMAGE SEGMENTATION METHOD AND APPARATUS, AND DEVICE, SYSTEM AND COMPUTER STORAGE MEDIUM
(FR) PROCÉDÉ ET APPAREIL DE SEGMENTATION D'IMAGE MÉDICALE AINSI QUE DISPOSITIF, SYSTÈME ET SUPPORT DE STOCKAGE INFORMATIQUE
(ZH) 医学图像分割方法、装置、设备、系统及计算机存储介质
Abstract
(EN) Disclosed are a medical image segmentation method and apparatus, and a device, a system and a computer storage medium. The method may comprise: calling a target detection model to detect, from a medical image to be segmented, a candidate area where a target organ is located; calling a target positioning model that is different from a neural network model to position, from the candidate area, a final area where the target organ is located; and calling a target segmentation model that is different from the neural network model to segment the final area, so as to obtain a segmentation result of the target organ. By utilizing the technical solution provided in the present application, fully automatic segmentation of a medical image can be realized, thereby helping assist doctors in making a diagnosis.
(FR) La demande concerne un procédé et un appareil de segmentation d'image médicale, ainsi qu'un dispositif, un système et un support de stockage informatique. Le procédé peut consister : à appeler un modèle de détection de cible pour détecter, à partir d'une image médicale à segmenter, une zone candidate dans laquelle se trouve un organe cible ; à appeler un modèle de positionnement de cible qui est différent d'un modèle de réseau neuronal pour positionner, à partir de la zone candidate, une zone finale dans laquelle se trouve l'organe cible ; et à appeler un modèle de segmentation de cible qui est différent du modèle de réseau neuronal pour segmenter la zone finale de sorte à obtenir un résultat de segmentation de l'organe cible. En utilisant la solution technique fournie dans la présente demande, une segmentation entièrement automatique d'une image médicale peut être réalisée, ce qui aide les médecins à effectuer un diagnostic.
(ZH) 本申请实施例公开了一种医学图像分割方法、装置、设备、系统及计算机存储介质,该方法可以包括调用目标检测模型从待分割的医学图像中检测出目标器官所在的候选区域;调用与神经网络模型不同的目标定位模型从所述候选区域中定位出所述目标器官所在的最终区域;以及调用与所述神经网络模型不同的目标分割模型对所述最终区域进行分割以获得所述目标器官的分割结果。通过利用本申请提供的技术方案,可以实现对医学图像的全自动分割,并且有助于辅助医生进行诊断。
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