Deep Learning and Attention Mechanism-based Prediction of Vaginal Invasion in Early-Stage Cervical Cancer

This preliminary study demonstrates promising deep learning performance (3D ResNet-18+Grad-CAM+AIC) for vaginal invasion assessment, despite moderate n; however, a single-center retrospective design limits generalizability.

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Publication Details

Journal
Current Medical Imaging Formerly Current Medical Imaging Reviews
Published
2025-11-28
DOI
https://doi.org/10.2174/0115734056392471251103125700
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep Learning and Attention Mechanism-based Prediction of Vaginal Invasion in Early-Stage Cervical Cancer

Changyi Guo, Feng Shi, Xinyang Zhu, Qing Xu et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews
Endometrial and Cervical Cancer Treatments
article

Deep Learning and Attention Mechanism-based Prediction of Vaginal Invasion in Early-Stage Cervical Cancer

Changyi Guo, Feng Shi, Xinyang Zhu, Qing Xu, Chao He, Yuwei Xia
article en

Abstract

This preliminary study demonstrates promising deep learning performance (3D ResNet-18+Grad-CAM+AIC) for vaginal invasion assessment, despite moderate n; however, a single-center retrospective design limits generalizability.

Current Medical Imaging Formerly Current Medical Imaging ReviewsVol. 22
United Imaging Healthcare (China) (CN), Xian Mechanical & Electric Institute (China) (CN), Affiliated Hospital of Shaanxi University of Chinese Medicine (CN), Shaanxi University of Chinese Medicine (CN)
Openalex Percentile: Top 52%
Endometrial and Cervical Cancer Treatments
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Deep Learning and Attention Mechanism-based Prediction of Vaginal Invasion in Early-Stage Cervical Cancer — Changyi Guo, Feng Shi, et al. · Current Medical Imaging Formerly Current Medical Imaging Reviews (2025) | TGRS Research Map | TGRS