Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Simulation model for gynecologic specimen classification in a high-resolution prescreening system.

R Ott

    Analytical and Quantitative Cytology
    |December 1, 1984
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Scalable Cold-Atom Quantum Simulator for Two-Dimensional QED.

    Physical review letters·2021
    Same author

    Acute outcome of chronic total occlusion (CTO) recanalizsation in the elderly.

    The Medical journal of Malaysia·2017
    Same author

    Gender-based acute outcome in percutaneous coronary intervention of chronic total coronary occlusion.

    Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation·2017
    Same author

    Validity of the J-CTO Score and the CL-Score for predicting successful CTO recanalization.

    International journal of cardiology·2017
    Same author

    [Dysphagia--what is important for primary diagnosis in private practice?].

    MMW Fortschritte der Medizin·2014
    Same author

    High frequency transformation ofKalanchoe laciniata.

    Plant cell reports·2013

    A new statistical model generates artificial specimens for testing gynecologic cancer prescreening systems. This approach aids in evaluating system performance and error rates under controlled conditions.

    Area of Science:

    • Biostatistics
    • Computational Pathology
    • Medical Imaging

    Background:

    • Gynecologic specimen classification relies on accurate prescreening systems.
    • Existing systems require extensive testing with real specimens, which is time-consuming and resource-intensive.

    Purpose of the Study:

    • To design a statistical model for generating artificial gynecologic specimens.
    • To enable the development and testing of high-resolution prescreening systems, specifically the FAZYTAN system.
    • To investigate system performance and error rates in a controlled simulation environment.

    Main Methods:

    • Developed a simulation model based on the composition of cytologic cell types within gynecologic specimens.
    • Analyzed the single-cell classification (SCC) output process, incorporating inherent system properties.

    Related Experiment Videos

  • Generated artificial specimens as point distributions in the SCC decision space using statistical information from labeled cells.

    • Main Results:

    • The model allows for controlled investigation of system reactions to various input processes.
    • False-positive and false-negative error rates can be measured and analyzed.
    • The effects of varying cell compositions on system performance can be studied.

    Conclusions:

    • Artificial specimens provide a valuable tool for developing and testing gynecologic prescreening systems.
    • This simulation method allows for detailed analysis of system characteristics and classifier performance.
    • While useful for controlled studies, artificial specimens do not replace real-world testing with large numbers of original specimens for final quality assessment.