A machine learning-based sonomics for prediction of thyroid nodule malignancies

被引:0
|
作者
Mohsen arabi
Mostafa Nazari
Ali Salahshour
Elnaz Jenabi
Ghasem Hajianfar
Maziar Khateri
Sajad P. Shayesteh
机构
[1] Alborz University of Medical Sciences,Department of Physiology, Pharmacology and Medical Physics
[2] Shahid Beheshti University of Medical Sciences,Department of Biomedical Engineering and Medical Physics
[3] Alborz University of Medical Sciences,Department of Radiology
[4] Tehran University of Medical Sciences,Research Centre for Nuclear Medicine, Shariati Hospital
[5] Iran University of Medical Science,Rajaie Cardiovascular, Medical & Research Center
来源
Endocrine | 2023年 / 82卷
关键词
Ultrasound imaging; Radiomics; Thyroid nodules; Machine learning;
D O I
暂无
中图分类号
学科分类号
摘要
Ultrasound imaging features can be used for thyroid nodules’ malignancy prediction.The quantitative features of ultrasound images can be used as non-invasive biomarkers.
引用
收藏
页码:326 / 334
页数:8
相关论文
共 50 条
  • [1] A machine learning-based sonomics for prediction of thyroid nodule malignancies
    Arabi, Mohsen
    Nazari, Mostafa
    Salahshour, Ali
    Jenabi, Elnaz
    Hajianfar, Ghasem
    Khateri, Maziar
    Shayesteh, Sajad P.
    [J]. ENDOCRINE, 2023, 82 (02) : 326 - 334
  • [2] Developing an Explainable Machine Learning-Based Thyroid Disease Prediction Model
    Arjaria, Siddhartha Kumar
    Rathore, Abhishek Singh
    Chaubey, Gyanendra
    [J]. INTERNATIONAL JOURNAL OF BUSINESS ANALYTICS, 2022, 9 (03)
  • [3] Prediction of Immunohistochemistry of Suspected Thyroid Nodules by Use of Machine Learning-Based Radiomics
    Gu, Jiabing
    Zhu, Jian
    Qiu, Qingtao
    Wang, Yungang
    Bai, Tong
    Yin, Yong
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 213 (06) : 1348 - 1357
  • [4] Machine learning-based prediction of transfusion
    Mitterecker, Andreas
    Hofmann, Axel
    Trentino, Kevin M.
    Lloyd, Adam
    Leahy, Michael F.
    Schwarzbauer, Karin
    Tschoellitsch, Thomas
    Boeck, Carl
    Hochreiter, Sepp
    Meier, Jens
    [J]. TRANSFUSION, 2020, 60 (09) : 1977 - 1986
  • [5] Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study
    Liu, Zelong
    Deyer, Louisa
    Yang, Arnold
    Liu, Steven
    Gong, Jingqi
    Yang, Yang
    Huang, Mingqian
    Doshi, Amish
    Lu, Meng
    Lee, Denise
    Deyer, Timothy
    Mei, Xueyan
    [J]. 2022 IEEE 22ND INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE 2022), 2022, : 23 - 28
  • [6] Machine Learning-based BGP Traffic Prediction
    Farasat, Talaya
    Rathore, Muhammad Ahmad
    Khan, Akmal
    Kim, JongWon
    Posegga, Joachim
    [J]. 2023 IEEE 22ND INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, BIGDATASE, CSE, EUC, ISCI 2023, 2024, : 1925 - 1934
  • [7] Machine Learning-based Prediction of Test Power
    Dhotre, Harshad
    Eggersgluess, Stephan
    Chakrabarty, Krishnendu
    Drechsler, Rolf
    [J]. 2019 IEEE EUROPEAN TEST SYMPOSIUM (ETS), 2019,
  • [8] Machine Learning-based Water Potability Prediction
    Alnaqeb, Reem
    Alrashdi, Fatema
    Alketbi, Khuloud
    Ismail, Heba
    [J]. 2022 IEEE/ACS 19TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2022,
  • [9] Machine learning-based prediction models in neurosurgery
    Habashy, Karl J.
    Arrieta, Victor A.
    Feghali, James
    [J]. NEUROSURGICAL FOCUS, 2023, 55 (03)
  • [10] A MACHINE LEARNING-BASED TOURIST PATH PREDICTION
    Zheng, Siwen
    Liu, Yu
    Ouyang, Zhenchao
    [J]. PROCEEDINGS OF 2016 4TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (IEEE CCIS 2016), 2016, : 38 - 42