Colposcopic Image Segmentation Based on Feature Refinement and Attention

Colposcopic Image Segmentation Based on Feature Refinement and Attention

The current computer-aided diagnosis for cervical cancer screening encounters issues with missing detailed information during colposcopic image segmentation and incomplete edge delineation. To overcome these challenges, this study introduces the RUC-U2Net architecture, which enhances image segmentat...

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Bibliographic Details
Main Authors: Yuxi He, Liping Liu, Jinliang Wang, Nannan Zhao, Hangyu He
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Image segmentation
colposcopy image
feature refinement
lightweight upsampling
loss function
Online Access:https://ieeexplore.ieee.org/document/10473040/

Internet

https://ieeexplore.ieee.org/document/10473040/

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