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Michal Gregus

Biographic Data

ID9814400
NAMEMichal Gregus
GIVEN NAMESMichal
FAMILY NAMEGregus
SIGNATUREGREGUS M
AFFILIATIONSComenius University Bratislava
ORCID0000-0002-8156-8962
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Machine Learning Assisted Cervical Cancer Detection

    Open Access•Mavra Mehmood, Muhammad Rizwan et al.•ARTICLE•Frontiers in Public Health•2021

    Cervical malignant growth is the fourth most typical reason for disease demise in women around the globe. Cervical cancer growth is related to human papillomavirus (HPV) contamination. Early screening made cervical cancer a preventable disease that results in minimizing the global burden of cervical cancer. In developing countries, women do not approach sufficient screening programs because of the costly procedures to undergo examination regularl…

No prominent works on this page.

  • Machine Learning Assisted Cervical Cancer Detection

    Open Access•Mavra Mehmood, Muhammad Rizwan et al.•ARTICLE•Frontiers in Public Health•2021

    Cervical malignant growth is the fourth most typical reason for disease demise in women around the globe. Cervical cancer growth is related to human papillomavirus (HPV) contamination. Early screening made cervical cancer a preventable disease that results in minimizing the global burden of cervical cancer. In developing countries, women do not approach sufficient screening programs because of the costly procedures to undergo examination regularl…

AI in cancer detection (1 work) · Artificial Intelligence (1 work) · Cancer (1 work) · Cervical cancer (1 work) · Cervical Cancer and HPV Research (1 work) · Cervical screening (1 work) · Colposcopy (1 work) · Computer Science (1 work) · Feature selection (1 work) · Internal Medicine (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae