"Boosting Cervical Cancer Prediction Leveraging a Hybrid FT-Transformer Model."

Md Emamul Hossen et al. (2025)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2025.3538566

access: open

type: Journal Article

metadata version: 2025-03-07

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/HossenMHIIKAPM25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/HossenMHIIKAPM25
Md Emamul Hossen, S. M. Mahim, Shakib Al Hasan, Md. Khairul Islam, Md. Shohidul Islam, Salahuddin Khan, Mohammad Alibakhshikenari, Peiman Parand, Md. Sipon Miah:
Boosting Cervical Cancer Prediction Leveraging a Hybrid FT-Transformer Model. IEEE Access 13: 26876-26896 (2025)

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.