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An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening
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2019
Year
Convolutional Neural NetworkEngineeringMachine LearningGynecologyPathologyCytopathologyCarcinomaCervical Cancer PreventionCancer-associated VirusImage AnalysisData ScienceHuman Papillomavirus VaccinesCervical Cancer Program ManagementPublic HealthCancer ResearchRadiologyMedical ImagingCervical HealthCervical ImagesMedical Image ComputingDeep LearningComputer VisionRadiomicsCervical Cancer ScreeningCervical Cancer ManagementCervical CancerCancer RiskCancer ScreeningBiomedical ImagingHpv VaccinationComputer-aided DiagnosisNeck PathologyCervical Cancers CasesOncologyMedical Image AnalysisPrecancerous Lesions
(Abstracted from J Natl Cancer Inst 2019; doi: 10.1093/jnci/djy225) Ninety-nine percent of cervical cancers cases are caused by infections with a human papillomavirus (HPV). This cancer can be prevented in most women by cervical cancer screening and HPV vaccination.