SDRD-Net: A Symmetric Dual-branch Residual Dense Network for OCT and US Image Fusion

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Xiao, Zhang;He, Bin;Chen, Zhiyi;Peng, Rushu;Zeng, Qinghao

通讯作者：

Chen, ZY

作者机构：

[Peng, Rushu; He, Bin; Xiao, Zhang; Zeng, Qinghao] Univ South China, Coll Mech Engn, Hengyang 421001, Hunan, Peoples R China.

[Xiao, Zhang; Chen, Zhiyi] Cent South Univ, Hunan Prov Key Lab Efficient & Clean Utilizat Mang, Changsha 410083, Hunan, Peoples R China.

[Chen, Zhiyi] Univ South China, Hengyang Med Sch, Inst Med Imaging, Hengyang 421001, Hunan, Peoples R China.

[Chen, Zhiyi] Univ South China, Affiliated Changsha Cent Hosp, Hengyang Med Sch, Dept Med imaging, Changsha, Hunan, Peoples R China.

[Chen, Zhiyi] Hunan Acad Environm Protect Sci, Hunan Prov Key Lab Water Pollut Control Technol, Changsha 410004, Hunan, Peoples R China.

通讯机构：

[Chen, ZY ] H

Hunan Acad Environm Protect Sci, Hunan Prov Key Lab Water Pollut Control Technol, Changsha 410004, Hunan, Peoples R China.

语种：

英文

关键词：

Image fusion;Optical coherence tomography (OCT);Residual dense;Ultrasound (US);feature fusion

期刊：

ULTRASOUND IN MEDICINE AND BIOLOGY

ISSN：

0301-5629

年：

2025

卷：

期：

页码：

884-895

DOI：

10.1016/j.ultrasmedbio.2025.02.001

基金类别：

National Natural Science Foundation of China [82402372]; Excellent Youth Project of the Education Department of Hunan Province [23B0416]; University of South China [20214310NHYCG06]; Health Research Project of Hunan Provincial Health Commission [W20241010]

机构署名：

本校为第一且通讯机构

院系归属：

机械工程学院

摘要：

Ultrasound (US) images have the advantages of no radiation, high penetration, and real-time imaging, and optical coherence tomography (OCT) has the advantage of high resolution. The purpose of fusing endometrial images from optical coherence tomography (OCT) and ultrasound (US) is to combine the advantages of different modalities to ultimately obtain more complete information on endometrial thickness. To better integrate multimodal images, we first proposed a Symmetric Dual-branch Residual Dense (SDRD-Net) network for OCT and US endometrial image fusion. Firstly, using Multi-scale Residual Den...

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SDRD-Net: A Symmetric Dual-branch Residual Dense Network for OCT and US Image Fusion

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