Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders
Abstract Cervical cancer is one of the deadly diseases that affects women, which requires periodic examinations to identify and treat any cancerous tumors at a preliminary stage. The most prevalent examination tool for cervical cancer prompt identification is the cervical smear (Pap smear) testing;...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-12-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-82489-2 |
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