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:2026-06-18
    • In vitro study of constructing a high-frequency ultrasound-pathology image registration and tissue composition predictive model based on deep learning

    • Oncoradiology   Vol. 33, Issue 6, Pages: 586-592(2024)
    • DOI:10.19732/j.cnki.2096-6210.2024.06.003    

      CLC:
    • Received:05 October 2024,

      Online First: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. DOI:

  •  
  •  

0

Views

372

下载量

1

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

Evaluation of neoadjuvant chemotherapy response for breast cancer with artificial intelligence assisted imaging ZHANG Nan1, ZHANG Yafang2, ZHOU Qi3
Deep learning-based ultrasound assessment for predicting early recurrence risk after radiofrequency ablation in hepatocellular carcinoma
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

Related Author

张楠
张亚芳
周琪
ZHANG Yu
SUN Wenqi
CHEN Yuan
CHENG Wen
HAN Xue

Related Institution

Department of Breast Surgery Ⅲ, Tangshan People's Hospital
Department of Magnetic Resonance Imaging, Tangshan People's Hospital
Department of Breast Surgery, Tangshan People's Hospital
The department of Ultrasound, Harbin Medical University Cancer Hospital
Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
0