Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines

Abstract Background Cervical cancer is the fourth most frequent cancer in women worldwide. Even though cervical cancer deaths have decreased significantly in Western countries, low and middle-income countries account for nearly 90% of cervical cancer deaths. While Western countries are leveraging th...

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Bibliographic Details
Main Authors: Emmanuel Ahishakiye, Fredrick Kanobe
Format: Article
Language:English
Published: Springer 2024-10-01
Series:Discover Artificial Intelligence
Subjects:
Online Access:https://doi.org/10.1007/s44163-024-00185-6
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