Prediction of Benign and Malignant Solid Renal Masses: Machine Learning-Based CT Texture Analysis

Erdim Cagri; Yardimci Aytul Hande; Bektas Ceyda TuranKocak BurakKoca Sevim BaykalDemir HaleKilickesmez Ozgur

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Prediction of Benign and Malignant Solid Renal Masses: Machine Learning-Based CT Texture Analysis

机译：Prediction of Benign and Malignant Solid Renal Masses: Machine Learning-Based CT Texture Analysis

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摘要

Rationale and Objectives: This study aimed to investigate whether benign and malignant renal solid masses could be distinguished through machine learning (ML)-based computed tomography (CT) texture analysis.

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来源
《Academic radiology》 |2020年第10期|1422-1429|共8页
作者
Erdim Cagri; Yardimci Aytul Hande; Bektas Ceyda TuranKocak BurakKoca Sevim BaykalDemir HaleKilickesmez Ozgur;
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作者单位

Istanbul Training & Res Hosp, Dept Radiol, TR-34098 Istanbul, Turkey;

Istanbul Training & Res Hosp, Dept Pathol, Istanbul, Turkey;

Amasya Univ, Dept Pathol, Sch Med, Amasya, TurkeySultangazi Haseki Training & Res Hosp, Dept Radiol, Istanbul, Turkey;

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原文格式 PDF
正文语种英语
中图分类放射医学;
关键词
Artificial intelligence; Machine learning; Texture analysis; Radiomics; Renal mass;

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Prediction of Benign and Malignant Solid Renal Masses: Machine Learning-Based CT Texture Analysis

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