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

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

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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,
conisation,
artificial neural networks
Related subjects:
Medicine,
Clinical medicine,
Internal medicine,
Haematology, oncology,
Radiology

© 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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