Force Map-Enhanced Segmentation of a Lightweight Model for the Early Detection of Cervical Cancer

Force Map-Enhanced Segmentation of a Lightweight Model for the Early Detection of Cervical Cancer

<b>Background/Objectives:</b> Accurate and efficient segmentation of cervical cells is crucial for the early detection of cervical cancer, enabling timely intervention and treatment. Existing segmentation models face challenges with complex cellular arrangements, such as overlapping cell...

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Bibliographic Details
Main Authors: Sabina Umirzakova, Shakhnoza Muksimova, Jushkin Baltayev, Young Im Cho
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Diagnostics
Subjects:
cervical cancer segmentation
instance segmentation
lightweight model
medical imaging
multi-scale feature aggregation
deep learning
Online Access:https://www.mdpi.com/2075-4418/15/5/513

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https://www.mdpi.com/2075-4418/15/5/513

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