Cross-attention based multi-resolution feature fusion model for self-supervised cervical oct image classification

Q Wang, K Chen, W Dou, Y Ma - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
Cervical cancer seriously endangers the health of the female reproductive system and even
risks women's life in severe cases. Optical coherence tomography (OCT) is a non-invasive …

Prior Activation Map Guided Cervical OCT Image Classification

Q Wang, WC Wong, M Yin, Y Ma - International Conference on Medical …, 2024 - Springer
Cervical cancer poses a severe threat to women's health globally. As a non-invasive
imaging modality, cervical optical coherence tomography (OCT) rapidly generates …

Cervical optical coherence tomography image classification based on contrastive self‐supervised texture learning

K Chen, Q Wang, Y Ma - Medical Physics, 2022 - Wiley Online Library
Background Cervical cancer (CC) seriously affects the health of the female reproductive
system. Optical coherence tomography (OCT) emerged as a noninvasive, high‐resolution …

[HTML][HTML] A Deep Learning Model for Cervical Optical Coherence Tomography Image Classification

X Zuo, J Liu, M Hu, Y He, L Hong - Diagnostics, 2024 - mdpi.com
Objectives: Optical coherence tomography (OCT) has recently been used in gynecology to
detect cervical lesions in vivo and proven more effective than colposcopy in clinical trials …

Feature pyramid based attention for cervical image classification

H Li, J Zhao, L Zhang, J Zhao, L Yang, Q Li - … Multimodal Medical Imaging …, 2020 - Springer
It is known that cervical cancer has been a great threaten to the health of women worldwide.
Regular examination through images obtained by colposcopes can facilitate early detection …

Deep cervix model development from heterogeneous and partially labeled image datasets

A Pal, Z Xue, S Antani - Frontiers of ICT in Healthcare: Proceedings of …, 2023 - Springer
Cervical cancer is a significant disease affecting women worldwide. Regular cervical
examination with gynecologists is important for early detection and treatment planning for …

Dual-attention EfficientNet based on multi-view feature fusion for cervical squamous intraepithelial lesions diagnosis

Y Guo, Y Wang, H Yang, J Zhang, Q Sun - Biocybernetics and Biomedical …, 2022 - Elsevier
Cervicograms are widely used in cervical cancer screening but exhibit a high misdiagnosis
rate. Even senior experts show only 48% specificity on clinical examinations. Most existing …

Lightweight Low-Rank Adaptation Vision Transformer Framework for Cervical Cancer Detection and Cervix Type Classification

Z Hong, J Xiong, H Yang, YK Mo - Bioengineering, 2024 - mdpi.com
Cervical cancer is a major health concern worldwide, highlighting the urgent need for better
early detection methods to improve outcomes for patients. In this study, we present a novel …

MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detection

I Pacal - Knowledge-Based Systems, 2024 - Elsevier
Early detection is essential for cervical cancer therapy, which is the fourth most frequent
malignancy worldwide. While the Pap smear test is the established approach for identifying …

[HTML][HTML] Multi-scale window transformer for cervical cytopathology image recognition

J Yi, X Liu, S Cheng, L Chen, S Zeng - Computational and Structural …, 2024 - Elsevier
Cervical cancer is a major global health issue, particularly in developing countries where
access to healthcare is limited. Early detection of pre-cancerous lesions is crucial for …