Research Progress on Anatomical Landmark Recognition System for Laparoendoscopic Single Site Surgery-Total Hysterectomy
10.13241/j.cnki.pmb.2025.20.020
- VernacularTitle:单孔腹腔镜下全子宫切除术解剖标志识别系统的研究进展
- Author:
Hai-xia WU
1
;
Qin XIA
1
;
Xia WANG
1
Author Information
1. 鄂州市中医医院妇产科 湖北鄂州 436000
- Publication Type:Journal Article
- Keywords:
Laparoendoscopic single site;
Surgery-total hysterectomy;
Anatomical landmark recognition system;
Deep learning;
Research progress
- From:
Progress in Modern Biomedicine
2025;25(20):3354-3360
- CountryChina
- Language:Chinese
-
Abstract:
As a minimally invasive gynecological surgery,laparoendoscopic single site surgery-total hysterectomy(LESS-TH)has the advantages of minimal trauma,fast recovery and beautiful incision,however,due to narrow operating space,significant instrument interference and insufficient stereoscopic vision,it is difficult to identify anatomical landmark during surgery,which can easily cause tissue damage,prolong surgical time and increase the risk of complications.The breakthrough of deep learning technology in the field of medical image analysis provides a new direction for solving the problem of LESS-TH anatomical landmark recognition.This paper reviews and analyzes the clinical status of LESS-TH,the application progress of deep learning technology in anatomical landmark recognition,to analyze the significance,value and challenges of LESS-TH anatomical landmark recognition systems,and provide reference for research and clinical practice in this field.
