Prognostic outcome prediction for head and neck cancer patients using convolutional neural networks

被引:0
|
作者
Guo, J. [1 ,2 ]
Zhai, T. [1 ,3 ]
Steenbakkers, R. J. H. M. [1 ]
Both, S. [1 ]
Langendijk, J. A. [1 ]
Van Ooijen, P. M. A. [1 ,2 ]
Sijtsema, N. M. [1 ]
机构
[1] Univ Groningen, Univ Med Ctr Groningen, Dept Radiat Oncol, Groningen, Netherlands
[2] Univ Groningen, Univ Med Ctr Groningen, Machine Learning Lab, Data Sci Ctr Hlth DASH, Groningen, Netherlands
[3] Shantou Univ Coll, Canc Hosp, Dept Radiat Oncol, Shantou, Peoples R China
关键词
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PO-1764
引用
收藏
页码:S982 / S982
页数:1
相关论文
共 50 条
  • [1] Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients
    Starke, Sebastian
    Zwanenburg, Alex
    Leger, Karoline
    Lohaus, Fabian
    Linge, Annett
    Kalinauskaite, Goda
    Tinhofer, Inge
    Guberina, Nika
    Guberina, Maja
    Balermpas, Panagiotis
    von der Gruen, Jens
    Ganswindt, Ute
    Belka, Claus
    Peeken, Jan C.
    Combs, Stephanie E.
    Boeke, Simon
    Zips, Daniel
    Richter, Christian
    Troost, Esther G. C.
    Krause, Mechthild
    Baumann, Michael
    Loeck, Steffen
    [J]. CANCERS, 2023, 15 (19)
  • [2] Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks
    Le, William Trung
    Vorontsov, Eugene
    Romero, Francisco Perdigon
    Seddik, Lotfi
    Elsharief, Mohamed Mortada
    Nguyen-Tan, Phuc Felix
    Roberge, David
    Bahig, Houda
    Kadoury, Samuel
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [3] Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks
    William Trung Le
    Eugene Vorontsov
    Francisco Perdigón Romero
    Lotfi Seddik
    Mohamed Mortada Elsharief
    Phuc Felix Nguyen-Tan
    David Roberge
    Houda Bahig
    Samuel Kadoury
    [J]. Scientific Reports, 12
  • [4] Classification of head and neck cancer from PET images using convolutional neural networks
    Hellstrom, Henri
    Liedes, Joonas
    Rainio, Oona
    Malaspina, Simona
    Kemppainen, Jukka
    Klen, Riku
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01)
  • [5] Optical Biopsy of Head and Neck Cancer Using Hyperspectral Imaging and Convolutional Neural Networks
    Halicek, Martin
    Little, James V.
    Wang, Xu
    Patel, Mihir
    Griffith, Christopher C.
    El-Deiry, Mark W.
    Chen, Amy Y.
    Fei, Baowei
    [J]. OPTICAL IMAGING, THERAPEUTICS, AND ADVANCED TECHNOLOGY IN HEAD AND NECK SURGERY AND OTOLARYNGOLOGY 2018, 2018, 10469
  • [6] Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging
    Halicek, Martin
    Lu, Guolan
    Little, James V.
    Wang, Xu
    Patel, Mihir
    Griffith, Christopher C.
    El-Deiry, Mark W.
    Chen, Amy Y.
    Fei, Baowei
    [J]. JOURNAL OF BIOMEDICAL OPTICS, 2017, 22 (06)
  • [7] Classification of head and neck cancer from PET images using convolutional neural networks
    Henri Hellström
    Joonas Liedes
    Oona Rainio
    Simona Malaspina
    Jukka Kemppainen
    Riku Klén
    [J]. Scientific Reports, 13
  • [8] Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks
    Hahoek, Martin
    Little, James, V
    Wang, Xu
    Chen, Amy Y.
    Fei, Baowei
    [J]. JOURNAL OF BIOMEDICAL OPTICS, 2019, 24 (03)
  • [9] Explainable convolutional neural networks for assessing head and neck cancer histopathology
    Marion Dörrich
    Markus Hecht
    Rainer Fietkau
    Arndt Hartmann
    Heinrich Iro
    Antoniu-Oreste Gostian
    Markus Eckstein
    Andreas M. Kist
    [J]. Diagnostic Pathology, 18
  • [10] Explainable convolutional neural networks for assessing head and neck cancer histopathology
    Doerrich, Marion
    Hecht, Markus
    Fietkau, Rainer
    Hartmann, Arndt
    Iro, Heinrich
    Gostian, Antoniu-Oreste
    Eckstein, Markus
    Kist, Andreas M.
    [J]. DIAGNOSTIC PATHOLOGY, 2023, 18 (01)