Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines
Crossref DOI link: https://doi.org/10.1007/s44163-024-00185-6
Published Online: 2024-10-30
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ahishakiye, Emmanuel
Kanobe, Fredrick
Text and Data Mining valid from 2024-10-30
Version of Record valid from 2024-10-30
Article History
Received: 24 July 2024
Accepted: 23 October 2024
First Online: 30 October 2024
Declarations
:
: The authors declare no competing interests.