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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Main Authors: | Begumhan BAYSAL, Hakan BAYSAL, Mehmet Bilgin ESER, Mahmut Bilal DOGAN, Orhan ALIMOGLU |
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Format: | Article |
Language: | English |
Published: |
Galenos Publishing House
2022-09-01
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Series: | Medeniyet Medical Journal |
Subjects: | |
Online Access: | https://jag.journalagent.com/z4/download_fulltext.asp?pdir=medeniyet&un=MEDJ-70094 |
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