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...
Saved in:
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: | |
Online Access: | https://ieeexplore.ieee.org/document/10843686/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative Evaluation of IndoBERT, IndoBERTweet, and mBERT for Multilabel Student Feedback Classification
by: Fatma Indriani, et al.
Published: (2024-12-01) -
Label credibility correction based on cell morphological differences for cervical cells classification
by: Wenbo Pang, et al.
Published: (2025-01-01) -
A multi-label classification method for disposing incomplete labeled data and label relevance
by: Lina ZHANG, et al.
Published: (2016-08-01) -
The New Nutrition Facts Label
by: Samantha Buddemeyer, et al.
Published: (2018-01-01) -
The New Nutrition Facts Label
by: Samantha Buddemeyer, et al.
Published: (2018-01-01)