Model generation method, medical image segmentation method and device, equipment and medium

• Main Authors: WANG SHAOKANG, KANG QINGBO, TAN WEIXIONG, ZHANG RONGGUO, LI XINYANG, CHEN KUAN
• Format: Patent
• Language: Chinese; English
• Published: 17.07.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The embodiment of the invention discloses a model generation method, a medical image segmentation method and device, equipment and a medium. The model generation method comprises the steps of obtaining a sample image of a sample chest, a lung mask image of a known lung in the sample image, and shape priori knowledge of the lung mask image; taking the sample image, the lung mask image and the shapepriori knowledge as a group of training samples, and training the original segmentation model based on multiple groups of training samples to generate a lung segmentation model, wherein the originalsegmentation model comprises a feature extraction network, and an image segmentation network and a priori knowledge regression network which are respectively connected with the feature extraction network. According to the technical scheme of the embodiment of the invention, the problem that the existing segmentation model does not effectively utilize the shape priori knowledge of the lung region is solved, and the priori k