Radiomics Analysis on Computed Tomography Images for Prediction of Chemoradiation-induced Heart Failure in Breast Cancer by Machine Learning Models

Background: This study aimed to evaluate the effectiveness of clinical, dosimetric, and radiomic features from computed tomography (CT) scans in predicting the probability of heart failure in breast cancer patients undergoing chemoradiation treatment. Materials and Methods: We selected 54 breast can...

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Bibliografische gegevens

Hoofdauteurs:	Farzaneh Ansari, Ali Neshasteh-Riz, Reza Paydar, Fathollah Mohagheghi, Sahar Felegari, Manijeh Beigi, Susan Cheraghi
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Wolters Kluwer Medknow Publications 2025-05-01
Reeks:	Journal of Medical Signals and Sensors
Onderwerpen:	chemotherapy echocardiography heart failure machine learning radiomics radiotherapy
Online toegang:	https://journals.lww.com/jmss/fulltext/2025/05010/radiomics_analysis_on_computed_tomography_images.3.aspx
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