Litcius/Paper detail

Exploring the clinical diagnostic value of pelvic floor ultrasound images for pelvic organ prolapses through deep learning

Li Duan, Yangyun Wang, Juxiang Li, Zhou Ningming

2021The Journal of Supercomputing11 citationsDOI

Topics & Concepts

Convolutional neural networkUltrasoundArtificial intelligencePelvic floorComputer scienceDeep learningMedicinePelvic cavitySupport vector machineFeature (linguistics)RadiologyPattern recognition (psychology)SurgeryLinguisticsPhilosophyPelvic floor disorders treatmentsAnorectal Disease Treatments and OutcomesPelvic and Acetabular Injuries
Exploring the clinical diagnostic value of pelvic floor ultrasound images for pelvic organ prolapses through deep learning | Litcius