A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening
Published 2021 View Full Article
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Title
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening
Authors
Keywords
Detection, Cervical cancer, Cytological image, Attention mechanism, Convolutional neural network, Deep learning, Clinical knowledge
Journal
MEDICAL IMAGE ANALYSIS
Volume 73, Issue -, Pages 102197
Publisher
Elsevier BV
Online
2021-08-11
DOI
10.1016/j.media.2021.102197
References
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- (2018) Xiyi Jiang et al. Journal of Gynecologic Oncology
- Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2018) Freddie Bray et al. CA-A CANCER JOURNAL FOR CLINICIANS
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- Impact of cervical screening on cervical cancer mortality: estimation using stage-specific results from a nested case–control study
- (2016) Rebecca Landy et al. BRITISH JOURNAL OF CANCER
- Clinical significance of atypical glandular cells in Pap tests: An analysis of more than 3000 cases at a large academic women's center
- (2016) Dinesh Pradhan et al. CANCER CYTOPATHOLOGY
- Recommendations on Quality Control and Quality Assurance in Cervical Cytology
- (2015) Margherita Branca et al. ACTA CYTOLOGICA
- Review of the Cervical Cancer Burden and Population-Based Cervical Cancer Screening in China
- (2015) Jiangli Di et al. Asian Pacific Journal of Cancer Prevention
- Human Papillomavirus in Cervical Cancer Screening: Important Role as Biomarker
- (2008) G. A.V. Boulet et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
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