典型文献
A three-dimensional measurement method for binocular endoscopes based on deep learning
文献摘要：
In the practice of clinical endoscopy,the precise estimation of the lesion size is quite significant for diagnosis.In this paper,we propose a three-dimensional(3D)measurement method for binocular endoscopes based on deep learning,which can overcome the poor robustness of the traditional binocular matching algorithm in texture-less areas.A simulated binocular image dataset is created from the target 3D data obtained by a 3D scanner and the binocular camera is simulated by 3D rendering software to train a disparity estimation model for 3D measurement.The experimental results demonstrate that,compared with the tradi-tional binocular matching algorithm,the proposed method improves the accuracy and disparity map generation speed by 48.9％and 90.5％,respectively.This can provide more accurate and reliable lesion size and improve the efficiency of endoscopic diagnosis.
文献关键词：
中图分类号：
作者姓名：
Hao YU;Changjiang ZHOU;Wei ZHANG;Liqiang WANG;Qing YANG;Bo YUAN
作者机构：
State Key Laboratory of Modern Optical Instrumentation,College of Optical Science and Engineering,Zhejiang University,Hangzhou 310027,China;Research Center for Intelligent Sensing,Zhejiang Lab,Hangzhou 311100,China
文献出处：
引用格式：
[1]Hao YU;Changjiang ZHOU;Wei ZHANG;Liqiang WANG;Qing YANG;Bo YUAN-.A three-dimensional measurement method for binocular endoscopes based on deep learning)[J].信息与电子工程前沿（英文）,2022(04):653-660
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0.546883
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