PCA-Net: a heart segmentation model based on the meta-learning method

作     者：YANG Mengzhu ZHU Dong DONG Hao HU Shunbo WANG Yongfang YANG Mengzhu;ZHU Dong;DONG Hao;HU Shunbo;WANG Yongfang

作者机构：School of Information Science and EngineeringLinyi UniversityLinyi 276000China 

出 版 物：《Optoelectronics Letters》 (光电子快报（英文版）)

年 卷 期：2024年第20卷第11期

页      面：697-704页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 080203[工学-机械设计及理论] 0835[工学-软件工程] 0802[工学-机械工程] 0836[工学-生物工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the Shandong Provincial Natural Science Foundation(Nos.ZR2019PF005,ZR2021MF115 and ZR2023MF062) the Introduction and Cultivation Program for Young Innovative Talents of Universities in Shandong(No.2021QCYY003) 

主　　题：organs ventricular diseases 

摘      要：In order to effectively prevent and treat heart-based diseases,the study of precise segmentation of heart parts is particularly *** heart is divided into four parts:the left and right ventricles and the left and right atria,and the left main trunk is more important,thus the left ventricular muscle(LV-MYO),which is located in the middle part of the heart,has become the object of many *** learning medical image segmentation methods become the main means of image analysis and processing at present,but the deep learning methods based on traditional convolutional neural network(CNN)are not suitable for segmenting organs with few labels and few samples like the heart,while the meta-learning methods are able to solve the above problems and achieve better results in the direction of heart *** the LV-MYO is wrapped in the left ventricular blood pool(LV-BP),this paper proposes a new model for heart segmentation:principle component analysis network(PCA-Net).Specifically,we redesign the coding structure of Q-Net and make improvements in threshold *** results confirm that PCA-Net effectively improves the accuracy of segmenting LV-MYO and LV-BP sites on the CMR dataset,and is validated on another publicly available dataset,ABD,where the results outperform other state-of-the-art(SOTA)methods.