A pathologically validated deep learning model for laryngeal and hypopharyngeal tumour segmentation on MRI

被引：0
|
作者：
Kuijer, K. [1 ,2 ]
Smits, H. [1 ]
Doornaert, P. [1 ]
Niu, K. [3 ]
Savenije, M. [1 ]
Smid, E. [1 ]
Terhaard, C. [1 ]
Terpstra, M. [1 ]
de Ridder, M. [1 ]
Philippens, M. [1 ]
机构：
[1] Univ Med Ctr Utrecht, Dept Radiotherapy, Utrecht, Netherlands
[2] Univ Twente, Tech Med, Enschede, Netherlands
[3] Univ Twente, Robot & Mech Grp, Fac Elect Engn Math & Comp Sci, Enschede, Netherlands
来源：
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION | 2024年 / 54卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
58ASM - 16
引用
收藏
页数：2
相关论文
共 50 条
  • [41] Temporomandibular joint segmentation in MRI images using deep learning
    Li, Mengxun
    Punithakumar, Kumaradevan
    Major, Paul W.
    Le, Lawrence H.
    Nguyen, Kim-Cuong T.
    Pacheco-Pereira, Camila
    Kaipatur, Neelambar R.
    Nebbe, Brian
    Jaremko, Jacob L.
    Almeida, Fabiana T.
    JOURNAL OF DENTISTRY, 2022, 127
  • [42] TBI LESION SEGMENTATION FROM MRI USING DEEP LEARNING
    Roy, Snehashis
    Butman, John
    Chan, Leighton
    Dzung Pham
    JOURNAL OF NEUROTRAUMA, 2018, 35 (16) : A152 - A152
  • [43] Deep learning with multiresolution handcrafted features for brain MRI segmentation
    Mecheter, Imene
    Abbod, Maysam
    Amira, Abbes
    Zaidi, Habib
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2022, 131
  • [44] Deep learning-based framework for tumour detection and semantic segmentation
    Kot, Estera
    Krawczyk, Zuzanna
    Siwek, Krzysztof
    Krolicki, Leszek
    Czwarnowski, Piotr
    BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES, 2021, 69 (03)
  • [45] Deep learning for the fully automated segmentation of the inner ear on MRI
    Akshayaa Vaidyanathan
    Marly F. J. A. van der Lubbe
    Ralph T. H. Leijenaar
    Marc van Hoof
    Fadila Zerka
    Benjamin Miraglio
    Sergey Primakov
    Alida A. Postma
    Tjasse D. Bruintjes
    Monique A. L. Bilderbeek
    Hammer Sebastiaan
    Patrick F. M. Dammeijer
    Vincent van Rompaey
    Henry C. Woodruff
    Wim Vos
    Seán Walsh
    Raymond van de Berg
    Philippe Lambin
    Scientific Reports, 11
  • [46] Deep learning for the fully automated segmentation of the inner ear on MRI
    Vaidyanathan, Akshayaa
    van der Lubbe, Marly F. J. A.
    Leijenaar, Ralph T. H.
    van Hoof, Marc
    Zerka, Fadila
    Miraglio, Benjamin
    Primakov, Sergey
    Postma, Alida A.
    Bruintjes, Tjasse D.
    Bilderbeek, Monique A. L.
    Sebastiaan, Hammer
    Dammeijer, Patrick F. M.
    van Rompaey, Vincent
    Woodruff, Henry C.
    Vos, Wim
    Walsh, Sean
    van de Berg, Raymond
    Lambin, Philippe
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [47] Breast MRI Segmentation by Deep Learning: Key Gaps and Challenges
    Askaripour, Khadijeh
    Zak, Arkadiusz
    IEEE ACCESS, 2023, 11 : 117935 - 117946
  • [48] Segmentation of leukocyte by semantic segmentation model: A deep learning approach
    Roy, Reena M.
    Ameer, P. M.
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 65
  • [49] A Deep Learning Architecture for Brain Tumor Segmentation in MRI Images
    Shreyas, V.
    Pankajakshan, Vinod
    2017 IEEE 19TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2017,
  • [50] Deep learning with multiresolution handcrafted features for brain MRI segmentation
    Mecheter, Imene
    Abbod, Maysam
    Amira, Abbes
    Zaidi, Habib
    Artificial Intelligence in Medicine, 2022, 131
12345