Segmentation Techniques Applied to CNNs for Cervical Cancer Classification

Segmentation Techniques Applied to CNNs for Cervical Cancer Classification

Cervical cancer continues to be a significant global health issue, ranking as the fourth most prevalent cancer affecting women. Enhancing population screening programs by refining the examination of cervical samples conducted by skilled pathologists offers a compelling alternative for early detectio...

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Bibliographic Details
Main Authors: Ana Ortiz-Gonzalez, Raquel Martinez-Espana, Juan Morales-Garcia, Baldomero Imbernon, Jose Martinez-Mas, Mauricio A. Alvarez, Oscar David Romero, Juan Pedro Martinez-Cendan, Andres Bueno-Crespo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
deep learning
artificial vision
supervised classification
convolutional neural networks
segmentation
Online Access:https://ieeexplore.ieee.org/document/10971179/
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https://ieeexplore.ieee.org/document/10971179/

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