SE-DeepLabV3+: Cervical Cell Segmentation and Classification Using a Novel SE-Based DeepLabV3+ and Ensemble Method

SE-DeepLabV3+: Cervical Cell Segmentation and Classification Using a Novel SE-Based DeepLabV3+ and Ensemble Method

Cervical cancer remains a major cause of morbidity and mortality worldwide, highlighting the need for early detection and effective treatment strategies. This study develops a robust deep learning-based system for cervical cell segmentation and classification using a novel Squeeze-and-Excitation Dee...

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Bibliographic Details
Main Authors: Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cervical cancer
classification
dynamic atrous rate
ensemble method
image segmentation
SE-DeepLabV3+
Online Access:https://ieeexplore.ieee.org/document/11072403/
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https://ieeexplore.ieee.org/document/11072403/

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