Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions

被引:0
|
作者
Ashirbani Saha
Samantha Tso
Jessica Rabski
Alireza Sadeghian
Michael D. Cusimano
机构
[1] St. Michael’s Hospital,Division of Neurosurgery
[2] University of Toronto,Department of Surgery
[3] Ryerson University,Department of Computer Science
来源
Pituitary | 2020年 / 23卷
关键词
Machine learning; Medical imaging; Pituitary tumor; Pituitary adenoma; Image processing; Magnetic resonance imaging;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:273 / 293
页数:20
相关论文
共 50 条
  • [1] Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions
    Saha, Ashirbani
    Tso, Samantha
    Rabski, Jessica
    Sadeghian, Alireza
    Cusimano, Michael D.
    PITUITARY, 2020, 23 (03) : 273 - 293
  • [2] Machine Learning in Malware Analysis: Current Trends and Future Directions
    Altaha, Safa
    Riad, Khaled
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (01) : 1267 - 1279
  • [3] Machine learning applications in the diagnosis of leukemia: Current trends and future directions
    Salah, Haneen T.
    Muhsen, Ibrahim N.
    Salama, Mohamed E.
    Owaidah, Tarek
    Hashmi, Shahrukh K.
    INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, 2019, 41 (06) : 717 - 725
  • [4] A literature review of the current applications of machine learning and their practical implications
    Chagas, Beatriz N. R.
    Viana, Julio
    Reinhold, Olaf
    Lobato, Fabio M. F.
    Jacob, Antonio F. L., Jr.
    Alt, Rainer
    WEB INTELLIGENCE, 2020, 18 (01) : 69 - 83
  • [5] Exploring the Landscape of Machine Learning Applications in Neurosurgery: A Bibliometric Analysis and Narrative Review of Trends and Future Directions
    Levy, Adam S.
    Bhatia, Shovan
    Merenzon, Martin A.
    Andryski, Allie L.
    Rivera, Cameron A.
    Daggubati, Lekhaj C.
    Di, Long
    Shah, Ashish H.
    Komotar, Ricardo J.
    Ivan, Michael E.
    WORLD NEUROSURGERY, 2024, 181 : 108 - 115
  • [6] Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions
    Bhushan, Megha
    Pandit, Akkshat
    Garg, Ayush
    ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (12) : 14035 - 14086
  • [7] Radiomic Analysis in Pituitary Tumors: Current Knowledge and Future Perspectives
    Bioletto, Fabio
    Prencipe, Nunzia
    Berton, Alessandro Maria
    Aversa, Luigi Simone
    Cuboni, Daniela
    Varaldo, Emanuele
    Gasco, Valentina
    Ghigo, Ezio
    Grottoli, Silvia
    JOURNAL OF CLINICAL MEDICINE, 2024, 13 (02)
  • [8] Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions
    Megha Bhushan
    Akkshat Pandit
    Ayush Garg
    Artificial Intelligence Review, 2023, 56 : 14035 - 14086
  • [9] Revolutionizing Spinal Care: Current Applications and Future Directions of Artificial Intelligence and Machine Learning
    Yagi, Mitsuru
    Yamanouchi, Kento
    Fujita, Naruhito
    Funao, Haruki
    Ebata, Shigeto
    JOURNAL OF CLINICAL MEDICINE, 2023, 12 (13)
  • [10] Current applications and future impact of machine learning in emerging contaminants: A review
    Lei, Lang
    Pang, Ruirui
    Han, Zhibang
    Wu, Dong
    Xie, Bing
    Su, Yinglong
    CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2023, 53 (20) : 1817 - 1835