A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI

被引：0
|
作者：
Natascha C. D’Amico
Enzo Grossi
Giovanni Valbusa
Francesca Rigiroli
Bernardo Colombo
Massimo Buscema
Deborah Fazzini
Marco Ali
Ala Malasevschi
Gianpaolo Cornalba
Sergio Papa
机构：
[1] Centro Diagnostico Italiano S.p.A.,Unit of Diagnostic Imaging and Stereotactic Radiotherapy
[2] University Campus Bio-Medico of Rome,Computer Systems & Bioinformatics Laboratory Department of Engineering
[3] Bracco Imaging S.p.A.,undefined
[4] Università degli Studi di Milano,undefined
[5] Scuola di specializzazione di Radiodiagnostica,undefined
[6] Centro Ricerche Semeion,undefined
来源：
European Radiology Experimental | / 4卷
关键词：
Artificial intelligence; Breast neoplasms; Gadobenic acid; Machine learning; Magnetic resonance imaging;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Diagnostic accuracy of diffusion weighted MRI in differentiating benign and malignant meningiomas
    Sohu, Din Muhammad
    Sohail, Saba
    Shaikh, Rehana
    PAKISTAN JOURNAL OF MEDICAL SCIENCES, 2019, 35 (03) : 726 - 730
  • [42] Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions
    Petra Mürtz
    Mark Tsesarskiy
    Alois M. Sprinkart
    Wolfgang Block
    Oleksandr Savchenko
    Julian A. Luetkens
    Ulrike Attenberger
    Claus C. Pieper
    European Radiology Experimental, 6
  • [43] Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions
    Muertz, Petra
    Tsesarskiy, Mark
    Sprinkart, Alois M.
    Block, Wolfgang
    Savchenko, Oleksandr
    Luetkens, Julian A.
    Attenberger, Ulrike
    Pieper, Claus C.
    EUROPEAN RADIOLOGY EXPERIMENTAL, 2022, 6 (01)
  • [44] The Role of Ultrasonography and Elastography in Differentiating Benign From Malignant Breast Masses With Pathologic Correlation
    Sakalecha, Anil Kumar
    Parameshwar, Keerthi B. H.
    Savagave, Shivaprasad G.
    Naik, Bukke Ravindra
    JOURNAL OF DIAGNOSTIC MEDICAL SONOGRAPHY, 2022, 38 (03) : 226 - 234
  • [45] Value of diffusion-weighted imaging in differentiating benign from malignant breast lesions
    S Stijven
    E Gielen
    M Horvath
    L Meylaerts
    Breast Cancer Research, 11
  • [46] Value of diffusion-weighted imaging in differentiating benign from malignant breast lesions
    Stijven, S.
    Gielen, E.
    Horvath, M.
    Meylaerts, L.
    BREAST CANCER RESEARCH, 2009, 11 : S15 - S15
  • [47] Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics
    Liang, Jianguang
    Pang, Tiantian
    Liu, Weixiang
    Li, Xiaogang
    Huang, Leidan
    Gong, Xuehao
    Diao, Xianfen
    BMC MEDICAL IMAGING, 2023, 23 (01)
  • [48] How reliable is modern breast imaging in differentiating benign from malignant breast lesions in the symptomatic population?
    Moss, HA
    Britton, PD
    Flower, CDR
    Freeman, AH
    Lomas, DJ
    Warren, RML
    CLINICAL RADIOLOGY, 1999, 54 (10) : 676 - 682
  • [49] Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics
    Jianguang Liang
    Tiantian Pang
    Weixiang Liu
    Xiaogang Li
    Leidan Huang
    Xuehao Gong
    Xianfen Diao
    BMC Medical Imaging, 23
  • [50] Differentiating malignant and benign eyelid lesions using deep learning
    Min Joung Lee
    Min Kyu Yang
    Sang In Khwarg
    Eun Kyu Oh
    Youn Joo Choi
    Namju Kim
    Hokyung Choung
    Chang Won Seo
    Yun Jong Ha
    Min Ho Cho
    Bum-Joo Cho
    Scientific Reports, 13
12345