Identification of women with high grade histopathology results after conisation by artificial neural networks Cover

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Identification of women with high grade histopathology results after conisation by artificial neural networks

Radiology and Oncology

Volume 56 (2022): Issue 3 (September 2022)

By: Marko Mlinaric, Miljenko Krizmaric, Iztok Takac and Alenka Repse Fokter

Open Access

|Aug 2022

Authors

Marko Mlinaric

info@ginekoloska-ambulanta.si

Outpatient Clinic for Gynaecology and Obstetrics Marko Mlinarič, Dr. Med., Zagorje ob Savi, Slovenia

Miljenko Krizmaric

Faculty of Medicine, University of Maribor, Maribor, Slovenia

Iztok Takac

University Clinic of Gynaecology and Perinatology, University Medical Centre Maribor, Maribor, Slovenia

Department of Gynaecology and Perinatology, Faculty of Medicine, University of Maribor, Maribor, Slovenia

Alenka Repse Fokter

Department of Pathology and Cytology, General Hospital Celje, Celje, Slovenia

DOI: https://doi.org/10.2478/raon-2022-0023 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099

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Language: English

Page range: 355 - 364

Submitted on: Jan 16, 2022

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Accepted on: Apr 25, 2022

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Published on: Aug 14, 2022

Published by: Association of Radiology and Oncology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

uterine cervical dysplasia,

uterine cervical cancer,

artificial neural networks

Related subjects:

Clinical medicine,

Internal medicine,

Haematology, oncology,

© 2022 Marko Mlinaric, Miljenko Krizmaric, Iztok Takac, Alenka Repse Fokter, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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