Leveraging Partial Labels for Cervical Lesion Classification via a Multilabel Approach

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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Bibliographic Details
Main Authors: Margaret Dy Manalo, Kota Aoki, Shuqiong Wu, Mariko Shindo, Yutaka Ueda, Yasushi Yagi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multilabel classification
partial labels
cervical cancer
computer-aided diagnosis
Online Access:https://ieeexplore.ieee.org/document/10843686/
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https://ieeexplore.ieee.org/document/10843686/

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