Prediction of one-year recurrence among breast cancer patients undergone surgery using artificial intelligence-based algorithms: a retrospective study on prognostic factors

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Publication Details

Journal
BMC Cancer
Published
2025-05-26
DOI
https://doi.org/10.1186/s12885-025-14369-5
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
Controls
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article

Prediction of one-year recurrence among breast cancer patients undergone surgery using artificial intelligence-based algorithms: a retrospective study on prognostic factors

Raoof Nopour
1 citations
BMC Cancer
Radiomics and Machine Learning in Medical Imaging
1.36
article

Prediction of one-year recurrence among breast cancer patients undergone surgery using artificial intelligence-based algorithms: a retrospective study on prognostic factors

Raoof Nopour
article en
1 citations

Abstract

No abstract available for this paper.
BMC CancerVol. 25(1)
Iran University of Medical Sciences (IR), Health Information Management (BE)
Good health and well-being
Openalex Percentile: Top 20%
Radiomics and Machine Learning in Medical Imaging
1.36
DOIOpen Access PDFOpenAlex
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Prediction of one-year recurrence among breast cancer patients undergone surgery using artificial intelligence-based algorithms: a retrospective study on prognostic factors — Raoof Nopour · BMC Cancer (2025) | TGRS Research Map | TGRS