Machine learning in neuro-oncology: toward novel development fields

被引:0
作者
Vincenzo Di Nunno
Mario Fordellone
Giuseppe Minniti
Sofia Asioli
Alfredo Conti
Diego Mazzatenta
Damiano Balestrini
Paolo Chiodini
Raffaele Agati
Caterina Tonon
Alicia Tosoni
Lidia Gatto
Stefania Bartolini
Raffaele Lodi
Enrico Franceschi
机构
[1] AUSL Bologna,Oncology Department
[2] University of Campania “Luigi Vanvitelli”,Medical Statistics Unit
[3] University of Siena,Radiation Oncology Unit, Department of Medicine, Surgery and Neurosciences
[4] IRCCS Neuromed,Department of Biomedical and Neuromotor Sciences (DIBINEM)
[5] Alma Mater Studiorum University of Bologna,Programma Neurochirurgia Ipofisi
[6] IRCCS Istituto delle Scienze Neurologiche di Bologna, Pituitary Unit
[7] IRCCS Istituto delle Scienze Neurologiche di Bologna,Unit of Neurosurgery
[8] Bellaria Hospital,Radiotherapy Department
[9] AUSL Bologna,Programma Neuroradiologia con Tecniche ad elevata complessità
[10] IRCCS Istituto delle Scienze Neurologiche di Bologna,Department of Biomedical and Neuromotor Sciences
[11] University of Bologna,Functional and Molecular Neuroimaging Unit
[12] IRCCS Istituto delle Scienze Neurologiche Di Bologna,Nervous System Medical Oncology Department
[13] IRCCS Istituto delle Scienze Neurologiche di Bologna,undefined
来源
Journal of Neuro-Oncology | 2022年 / 159卷
关键词
Artificial intelligence; Deep learning; Machine learning; Brain tumors; Central nervous system malignancies;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:333 / 346
页数:13
相关论文
共 50 条
  • [1] Machine learning in neuro-oncology: toward novel development fields
    Di Nunno, Vincenzo
    Fordellone, Mario
    Minniti, Giuseppe
    Asioli, Sofia
    Conti, Alfredo
    Mazzatenta, Diego
    Balestrini, Damiano
    Chiodini, Paolo
    Agati, Raffaele
    Tonon, Caterina
    Tosoni, Alicia
    Gatto, Lidia
    Bartolini, Stefania
    Lodi, Raffaele
    Franceschi, Enrico
    JOURNAL OF NEURO-ONCOLOGY, 2022, 159 (02) : 333 - 346
  • [2] An Update on Machine Learning in Neuro-Oncology Diagnostics
    Booth, Thomas C.
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2018, PT I, 2019, 11383 : 37 - 44
  • [3] Standardization of imaging methods for machine learning in neuro-oncology
    Li, Xiao Tian
    Huang, Raymond Y.
    NEURO-ONCOLOGY ADVANCES, 2020, 2 (SUPP 4) : 49 - 55
  • [4] Applications of artificial intelligence in neuro-oncology
    Aneja, Sanjay
    Chang, Enoch
    Omuro, Antonio
    CURRENT OPINION IN NEUROLOGY, 2019, 32 (06) : 850 - 856
  • [5] Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
    Pitarch, Carla
    Ungan, Gulnur
    Julia-Sape, Margarida
    Vellido, Alfredo
    CANCERS, 2024, 16 (02)
  • [6] Optimizing Neuro-Oncology Imaging: A Review of Deep Learning Approaches for Glioma Imaging
    Shaver, Madeleine M.
    Kohanteb, Paul A.
    Chiou, Catherine
    Bardis, Michelle D.
    Chantaduly, Chanon
    Bota, Daniela
    Filippi, Christopher G.
    Weinberg, Brent
    Grinband, Jack
    Chow, Daniel S.
    Chang, Peter D.
    CANCERS, 2019, 11 (06)
  • [7] Radiomics in neuro-oncology: Basics, workflow, and applications
    Lohmann, Philipp
    Galldiks, Norbert
    Kocher, Martin
    Heinzel, Alexander
    Filss, Christian P.
    Stegmayr, Carina
    Mottaghy, Felix M.
    Fink, Gereon R.
    Shah, N. Jon
    Langen, Karl-Josef
    METHODS, 2021, 188 : 112 - 121
  • [8] Radiomics and Radiogenomics with Deep Learning in Neuro-oncology
    Patel, Jay
    Gidwani, Mishka
    Chang, Ken
    Kalpathy-Cramer, Jayashree
    MACHINE LEARNING IN CLINICAL NEUROIMAGING AND RADIOGENOMICS IN NEURO-ONCOLOGY, MLCN 2020, RNO-AI 2020, 2020, 12449 : 199 - 211
  • [9] The future of neuro-oncology
    Piepmeier, Joseph M.
    ACTA NEUROCHIRURGICA, 2009, 151 (11) : 1343 - 1348
  • [10] Machine Learning and Artificial Intelligence Systems Based on the Optical Spectral Analysis in Neuro-Oncology
    Savelieva, Tatiana
    Romanishkin, Igor
    Ospanov, Anuar
    Goryaynov, Sergey
    Pavlova, Galina
    Pronin, Igor
    Loschenov, Victor
    PHOTONICS, 2025, 12 (01)