CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities
Objectives Cervical cancer, a leading cause of cancer-related deaths among women globally, has a significantly higher survival rate when diagnosed early. Traditional diagnostic methods like Pap smears and cervical biopsies rely heavily on the skills of cytologists, making the process prone to errors...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2024-11-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076241295440 |
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