Cochlear CT image segmentation based on u-net neural network

Li Cheng; Li Xiaojun; Zhou Rong

首页> 外文期刊>journal of radiation research and applied sciences >Cochlear CT image segmentation based on u-net neural network

【24h】

Cochlear CT image segmentation based on u-net neural network

机译：

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Objective: Before cochlear implantation, accurately identifying the cochlea's morphology is necessary. This study proposes an improved network model based on U-Net, which can realize automatic segmentation of human cochlear anatomy in computed tomography (CT) images. Methods: The CT scan data of 100 patients requiring cochlear implantation diagnosed in our hospital were randomly collected. It was divided into a training set (n = 75) and a test set (n = 25). All data were manually segmented by two clinicians. At the same time, U-Net was used for deep learning of the above data. The cochlea in the test set was compared with the dice similarity coefficient (DSC) and 95 Hausdorff surface distance (HD95) by manual and automatic segmentation. Results: The DSC and HD95 of manual cochlear image segmentation were 0.761 and 4.343, respectively. The DSC and HD95 were 0.742 and 4.217, respectively, for automatic segmentation of cochlear structure using the U-Net network structure. The difference of DSC and HD95 between the two segmentation methods was not statistically significant (P > 0.05). Conclusions: The cochlea can be thoroughly segmented automatically based on the U-Net neural network, and the precision is close to manual segmentation.

著录项

来源
《journal of radiation research and applied sciences》 |2023年第2期|共6页
作者
Li Cheng; Li Xiaojun; Zhou Rong;
展开▼
作者单位

Xingtai Third Hosp;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
U-net; Cochlear implantation; Automatic segmentation; DEEP; IMPLANTATION;

相似文献

外文文献
中文文献
专利

1. An Algorithm for Segmentation of Kidney Tissues on CT Images Based on a U-Net Convolutional Neural Network [J] . K. O. Ivanov, A. V. Kazarinov, V. N. DubrovinA. A. RozhentsovA. A. BaevA. O. Evdokimov Biomedical engineering . 2023,第6期

机译：An Algorithm for Segmentation of Kidney Tissues on CT Images Based on a U-Net Convolutional Neural Network
2. Researchers at Department of ECE Release New Data on Machine Learning (Automated Image and Video Object Detection Based On Hybrid Heuristic-based U-net Segmentation and Faster Regionconvolutional Neural Network-enabled Learning) [J] . Network Daily News . 2022,第9期

机译：Researchers at Department of ECE Release New Data on Machine Learning (Automated Image and Video Object Detection Based On Hybrid Heuristic-based U-net Segmentation and Faster Regionconvolutional Neural Network-enabled Learning)
3. Quanzhou First Hospital Affiliated to Fujian Medical University Reports Findings in COVID-19 (Lung image segmentation based on DRD U-Net and combined WGAN with Deep Neural Network) [J] . Network Daily News . 2022,第23期

机译：Quanzhou First Hospital Affiliated to Fujian Medical University Reports Findings in COVID-19 (Lung image segmentation based on DRD U-Net and combined WGAN with Deep Neural Network)
4. Flower Species Recognition Based on the Convolutional Neural Network [C] . Xu Xianchong, Gao Yuanyuan International Conference on Image, Vision and Computing . 2021

机译：Flower Species Recognition Based on the Convolutional Neural Network
5. Learning Task-Oriented Dialog with Neural Network Methods =基于神经网络的任务型对话学习 [D] . Liu, Bing. 2018

机译：Learning Task-Oriented Dialog with Neural Network Methods =基于神经网络的任务型对话学习
6. SpikingLab: modelling agents controlled by Spiking Neural Networks in Netlogo [O] . Cristian Jimenez-Romero, Jeffrey Johnson -1

机译：SpikingLab：由Netlogo中的Spiking Neural Networks控制的建模代理
7. Function-based and physics-based hybrid modular neural network for radio wave propagation modeling. [O] . 1999

机译：Function-based and physics-based hybrid modular neural network for radio wave propagation modeling.
8. Approche Stochastique de la Segmentation des Images: Un Modele de Coopertion Entre les Primitives de Regions et de Frontieres (Stochastic Approach of Image Segmentation: A Model of Cooperation Between Region Primitives and Boundar [R] . Bouakaz, S. 1987

机译：approche stochastique de la segmentation des Images：Un modele de Coopertion Entre les primitives de Regions et de Frontieres（图像分割的随机方法：区域基元与边界之间的合作模型）

Cochlear CT image segmentation based on u-net neural network

摘要

著录项

相似文献

相关主题

期刊订阅