Leveraging Partial Labels for Cervical Lesion Classification via a Multilabel Approach
Early detection and diagnosis of cervical lesions is crucial for mitigating cervical cancer. Because of limited access to adequate annotations, existing studies on cervical lesion classification have primarily focused on generalized classification. This study introduces a multilabel approach to cerv...
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Main Authors: | Margaret Dy Manalo, Kota Aoki, Shuqiong Wu, Mariko Shindo, Yutaka Ueda, Yasushi Yagi |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10843686/ |
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