您当前的位置:
首页 >
文章列表页 >
In vitro study of constructing a high-frequency ultrasound-pathology image registration and tissue composition predictive model based on deep learning
更新时间:2025-12-15
    • In vitro study of constructing a high-frequency ultrasound-pathology image registration and tissue composition predictive model based on deep learning

    • In the field of medical imaging, researchers have established a fusion registration method for high-frequency ultrasound and pathological images based on deep learning networks, and constructed a pathological tissue component model to provide methodological basis for clinical applications.
    • Oncoradiology   Vol. 33, Issue 6, Pages: 586-592(2024)
    • DOI:10.19732/j.cnki.2096-6210.2024.06.003    

      CLC:
    • Received:05 October 2024

      Published Online:02 January 2025

      Published:28 December 2024

    移动端阅览

  • Wenwen ZHOU, Zhifei CHAI, Ming XU, et al. In vitro study of constructing a high-frequency ultrasound-pathology image registration and tissue composition predictive model based on deep learning[J]. Oncoradiology, 2024, 33(6): 586-592. DOI: 10.19732/j.cnki.2096-6210.2024.06.003.

  •  
  •  

0

Views

344

下载量

0

CNKI被引量

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Intelligent imaging for precision diagnosis and treatment of pancreatic tumors: current applications and future perspectives
Advances in the application of ultrasound artificial intelligence in prostate cancer
Construction of a prognostic nomogram model for cervical cancer patients based on color Doppler ultrasound parameters and serological indicators
Value of deep learning ultrasound radiomics in predicting axillary lymph node metastasis of breast cancer
Deep learning model based on two-dimensional ultrasound images for preoperative prediction of breast cancer lymphovascular invasion: a human-machine comparison study

Related Author

TANG Wei
YUAN Xiaohan
YU Xianjun
TONG Tong
Wanjun JIANG
Zhen WANG
Yunxin ZHAO
Yihong LIU

Related Institution

Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
College of Medical Instrumentation, Shanghai University of Medicine & Health Sciences
Department of Ultrasound, Shanghai Punan Hospital of Pudong New District
Department of Obstetrics and Gynecology, Longgang District People’s Hospital in Shenzhen, Shenzhen 5181722
0