Radiomics Features Based on MRI-ADC Maps of Patients with Breast Cancer: Relationship with Lesion Size, Features Stability, and Model Accuracy

Radiomics Features Based on MRI-ADC Maps of Patients with Breast Cancer: Relationship with Lesion Size, Features Stability, and Model Accuracy

Objective: To predict breast cancer molecular subtypes with neural networks based on magnetic resonance imaging apparent diffusion coefficient (ADC) radiomics and to detect the relation of lesion size with the stability of radiomics features. Methods: This retrospective study included 221 consecutiv...

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Bibliographic Details
Main Authors: Begumhan BAYSAL, Hakan BAYSAL, Mehmet Bilgin ESER, Mahmut Bilal DOGAN, Orhan ALIMOGLU
Format: Article
Language:English
Published: Galenos Publishing House 2022-09-01
Series:Medeniyet Medical Journal
Subjects:
breast carcinoma
diffusion magnetic resonance imaging
computer-assisted image processing
machine learning
artificial intelligence
Online Access:https://jag.journalagent.com/z4/download_fulltext.asp?pdir=medeniyet&un=MEDJ-70094
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