Research graph
References from Diagnostic accuracy of an artificial intelligence-driven cytopathological tool in detecting cervical pre-cancerous lesions from Pap smear images. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2020 · External reference
Unresolved reference
2024 · External reference
Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
10.3322/caac.21834 · 2024 · External reference
Cervical cancer in low and middle-income countries
10.3892/ol.2020.11754 · 2020 · External reference
Unresolved reference
External reference
Impact of HPV vaccination and cervical screening on cervical cancer elimination: a comparative modelling analysis in 78 low-income and lower-middle-income countries
10.1016/s0140-6736(20)30068-4 · 2020 · External reference
Unresolved reference
2024 · External reference
Barriers to uptake of cervical cancer screening services in low-and-middle-income countries: a systematic review
10.1186/s12905-022-02043-y · 2022 · External reference
Unresolved reference
2026 · External reference
Unresolved reference
External reference
Cervical cancer screening by cytology and the burden of epithelial abnormalities in low resource settings: a tertiary-center 42-year study
10.1186/s12905-024-03254-1 · 2024 · External reference
Performance of alternative strategies for primary cervical cancer screening in sub-Saharan Africa: systematic review and meta-analysis of diagnostic test accuracy studies
10.1136/bmj.h3084 · 2015 · External reference
Global landscape of cervical cancer incidence and mortality in 2022 and predictions to 2030: the urgent need to address inequalities in cervical cancer
10.1002/ijc.35369 · 2025 · External reference
Unresolved reference
2020 · External reference
A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images
10.1016/j.artmed.2020.101897 · 2020 · External reference
Deep residual learning for image recognition
2015 · External reference
Efficientnet: rethinking model scaling for convolutional neural networks
2019 · External reference
Unresolved reference
2017 · External reference
Rethinking the inception architecture for computer vision
2016 · External reference
Comparison of deep transfer learning models for classification of cervical cancer from Pap smear images
10.1038/s41598-024-74531-0 · 2025 · External reference
Detection of cervical cancer using deep transfer learning
10.4314/dujopas.v10i1a.4 · 2024 · External reference
Cervical cancer diagnosis using convolution neural network: feature learning and transfer learning approaches
10.1007/s00500-023-08969-1 · 2023 · External reference
CVM-Cervix: a hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron
10.1016/j.patcog.2022.108829 · 2022 · External reference
A fuzzy rank-based ensemble of CNN models for classification of cervical cytology
10.1038/s41598-021-93783-8 · 2021 · External reference
Diagnosis of cervical cancer and pre-cancerous lesions by artificial intelligence: a systematic review
10.3390/diagnostics12112771 · 2022 · External reference
CRIC searchable image database as a public platform for conventional Pap smear cytology data
10.1038/s41597-021-00933-8 · 2021 · External reference
Unresolved reference
External reference
Scrutinizing high-risk patients from ASC-US cytology via a deep learning model
10.1002/cncy.22560 · 2022 · External reference
10.1186/s41073-019-0088-0 · 2020 · Admitted local publication
