Coarse-to-Fine Approach:Automatic Delineation of Kidney Ultrasound Data  

作　　者：Tao Peng Yiwen Ruan Yidong Gu Jiang Huang Caiyin Tang Jing Cai 

机构地区：[1]School of Future Science and Engineering,Soochow University,Suzhou 215222,China [2]Department of Medical Ultrasound,Suzhou Municipal Hospital,Suzhou 215006,China [3]Department of Ophthalmology,The Second Affiliated Hospital of Soochow University,Suzhou 215004,China [4]Department of Radiology,Taizhou People’s Hospital Affiliated to Nanjing Medical University,Taizhou 318020,China [5]Department of Health Technology and Informatics,The Hong Kong Polytechnic University,Hong Kong 999077,China

出　　处：《Big Data Mining and Analytics》2024年第4期1321-1332,共12页大数据挖掘与分析(英文)

基　　金：supported by the China Postdoctoral Science Foundation(No.2023M742568);the China Social Development Plan of Taizhou(No.TN202110)。

摘　　要：We present an automatic kidney segmentation method using ultrasound images.This method employs a coarse-to-fine approach to tackle the challenge of unclear and fuzzy boundaries.Four key innovations are introduced to enhance the segmentation process’s accuracy and efficiency.First,an automatic deep fusion training network serves as a coarse segmentation strategy.Second,we propose an explainable mathematical mapping formula to better represent the kidney contour.Third,by utilizing the characteristics of the principal curve,a neural network automatically refines curve shapes,thus reducing model errors.Finally,we employ an intelligent searching polyline segment method for automatic kidney contour segmentation.The results show that our method achieves high accuracy and stability in segmenting kidney ultrasound images.This work’s contributions include the deep fusion training network,intelligent searching polyline segment method,and explainable mathematical mapping formula,which are applicable to other medical image segmentation tasks.Additionally,this approach uses a mean-shift clustering model,supplanting standard projection and vertex optimization steps.

关 键 词：polyline segment technique artificial neural network explainable mathematical mapping formula ultrasound kidney segmentation 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP311.13[自动化与计算机技术—控制科学与工程]