Prediction of Benign or Malignant Breast Masses Using Texture Features from Digital Mammograms by Three Machine Learning Methods

Cui Y.; Li Y.; Zhu J.; Dong J.

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Prediction of Benign or Malignant Breast Masses Using Texture Features from Digital Mammograms by Three Machine Learning Methods

机译：三种机器学习方法，使用数字乳房X线图的纹理特征预测良性或恶性乳房肿块

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《Medical Physics》 |2019年第6期|共1页
作者
Cui Y.; Li Y.; Zhu J.; Dong J.;
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作者单位

Shandong Univ Shandong Canc Hosp Dept Radiat Oncol Phys &

Technol Jinan 250117 Shandong;

Shandong Univ Shandong Canc Hosp Dept Radiol Jinan 250117 Shandong Peoples R China;

Shandong Univ Shandong Canc Hosp Dept Radiat Oncol Phys &

Technol Jinan 250117 Shandong;

Univ Jinan Shandong Prov Key Lab Network Based Intelligent C Sch Informat Sci &

Engn Jinan;

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正文语种 eng
中图分类基础医学;
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1. Prediction of Benign or Malignant Breast Masses Using Texture Features from Digital Mammograms by Three Machine Learning Methods [J] . Cui Y., Li Y., Zhu J., Medical Physics . 2019,第6期

机译：三种机器学习方法，使用数字乳房X线图的纹理特征预测良性或恶性乳房肿块
2. Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity [J] . Carvalho Edson Damasceno, de Carvalho Filho Antonio Oseas, de Sousa Alcilene Dalilia, Computers and Electrical Engineering . 2018,第期

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3. Classification of benign and malignant breast masses based on shape and texture features in sonography images [J] . ZakeriF.S., BehnamH., AhmadinejadN. Journal of medical systems . 2012,第3期

机译：基于超声图像中形状和纹理特征的乳腺良恶性分类
4. Identification of malignant masses on digital mammogram images based on texture feature and correlation based feature selection [C] . Nugroho Hanung Adi, Faisal N., Soesanti Indah, International Conference on Information Technology and Electrical Engineering . 2014

机译：基于纹理特征和基于相关性的特征选择在数字化乳腺X线照片上识别恶性肿块
5. Prediction of CYP3A4 Metabolic Activity from Whole Genome RNA-Seq Data with Feature Selection Machine Learning Methods [D] . Jia, Yichen. 2017

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6. A Benign and Malignant Breast Tumor Classification Method via Efficiently Combining Texture and Morphological Features on Ultrasound Images [O] . Mengwan Wei, Yongzhao Du, Xiuming Wu, 2020

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7. A Machine Learning Method Based on the Combination of Nonlinear and Texture Features to Diagnose Malignant Melanoma From Dermoscopic Images [O] . Sepehr Salem Ghahfarrokhi, Hamed Khodadadi 2021

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Prediction of Benign or Malignant Breast Masses Using Texture Features from Digital Mammograms by Three Machine Learning Methods

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