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...

詳細記述

書誌詳細

出版年:	Medeniyet Medical Journal
主要な著者:	Begumhan BAYSAL, Hakan BAYSAL, Mehmet Bilgin ESER, Mahmut Bilal DOGAN, Orhan ALIMOGLU
フォーマット:	論文
言語:	英語
出版事項:	Istanbul Medeniyet University 2022-09-01
主題:	breast carcinoma diffusion magnetic resonance imaging computer-assisted image processing machine learning artificial intelligence
オンライン･アクセス:	https://jag.journalagent.com/z4/download_fulltext.asp?pdir=medeniyet&un=MEDJ-70094