Your Location：
Home >
Browse articles >
Improved BYOL method for predicting epidermal growth factor receptor gene mutations in non-small cell lung cancer
Information Sciences | Updated：2026-09-11
Previous|Next

    • Improved BYOL method for predicting epidermal growth factor receptor gene mutations in non-small cell lung cancer

    • YANG Jianan , WANG Zhonghao , WANG Haolin , GENG Guohua , CAO Xin
    • Optics and Precision Engineering Vol. 30, Issue 9, Pages: 1080-1090(2022)

    • DOI： 10.37188/OPE.20223009.1080     

      CLC：

    • Revised：2022-02-17 ，

    Scan QR Code

  •  
  •  

  • Full Text(HTML)

  • Figs( 5 ) Tabs( 3 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

537

Views

1028

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Publicity Resources

OPE Cover | Prediction of EGFR gene mutation in non-small cell lung cancer

Related Articles

3DRes-ViT knee osteoarthritis classification model based on multimodal fusion
High-precision deep learning-based single-frame interferometric decoupling for measuring optical homogeneity of parallel plates
Multi-scale image enhancement in turbid water via spatial-frequency domain fusion
Inverse design of efficient achromatic metalens based on channel attention enhanced network
Real-time prediction of subsequent frames in broadband video based on optical flow method

Related Author

SONG Yu
XU Rui
CAI Xiaodong
WANG Xin
ZHOU Shunye
TANG Liang
CUI Han
QIU Lirong

Related Institution

College of Computer Science and Engineering， Changchun University of Technology
Information Department， Jilin Qianwei Hospital
School of Optics and Photonics， Beijing Institute of Technology
School of Information Management， Qingdao University of Technology
School of Physics and Optoelectronic Engineering， Xidian University