Medical image lymph node detection method based on priori knowledge

The invention discloses a medical image lymph node detection method based on priori knowledge, and relates to the technical field of medical image processing and analysis, and the method comprises thefollowing steps: data preparation and calibration, data preprocessing, construction of a key frame positioning model, extraction of a key region, and construction of a lymph node detection model. Themethod is composed of two cascaded deep neural network models: a key frame positioning deep neural network model and a lymph node detection deep neural network model. The invention also provides twokinds of priori knowledge: key frame space priori knowledge for a key frame positioning model and lymph node anchor point scale priori knowledge for a lymph node detection model. Through the two kindsof priori knowledge, the CT key frame positioning accuracy and the lymph node detection effect can be effectively improved. 本发明公开了一种基于先验知识的医学图像淋巴结检测方法，涉及医学影像的处理分析技术领域，包括如下步骤：数据准备与标定、数据预处理、关键帧定位模型的构建、关键区域提取和淋巴结检测模型构建；本发明由两个级联的深度