"Densely Connected Convolutional Neural Network-Based Invalid Data ..."

Yanyan Shi et al. (2024)

> Home

Details and statistics

DOI: 10.1109/TCI.2024.3356861

access: closed

type: Journal Article

metadata version: 2024-02-29

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tci/ShiLWYGF24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tci/ShiLWYGF24
Yanyan Shi, Yajun Lou, Meng Wang, Ke Yang, Zhen Gao, Feng Fu:
Densely Connected Convolutional Neural Network-Based Invalid Data Compensation for Brain Electrical Impedance Tomography. IEEE Trans. Computational Imaging 10: 143-153 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.