A bilinear convolutional neural network for lung nodules classification on CT images

被引：0
|
作者：
Rekka Mastouri
Nawres Khlifa
Henda Neji
Saoussen Hantous-Zannad
机构：
[1] University of Tunis el Manar,Higher Institute of Medical Technologies of Tunis, Research Laboratory of Biophysics and Medical Technologies
[2] University of Tunis el Manar,Faculty of Medicine of Tunis
[3] Abderrahmen Mami Hospital,Medical Imaging Department
来源：
International Journal of Computer Assisted Radiology and Surgery | 2021年 / 16卷
关键词：
Bilinear CNN; SVM; Lung nodules; Classification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：91 / 101
页数：10
相关论文
共 50 条
  • [1] A bilinear convolutional neural network for lung nodules classification on CT images
    Mastouri, Rekka
    Khlifa, Nawres
    Neji, Henda
    Hantous-Zannad, Saoussen
    [J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2021, 16 (01) : 91 - 101
  • [2] Classification of lung nodules in CT images using conditional generative adversarial - convolutional neural network
    Ishama, Nur Nabila Mohd
    Mokria, Siti Salasiah
    Abd Rahni, Ashrani Aizuddin
    Ali, Nurul Fatihah
    [J]. INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS, 2021, 12 : 1047 - 1058
  • [3] Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images
    Lyu, Juan
    Ling, Sai Ho
    [J]. 2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2018, : 686 - 689
  • [4] Efficacy of exponentiation method with a convolutional neural network for classifying lung nodules on CT images by malignancy level
    Usuzaki, Takuma
    Takahashi, Kengo
    Takagi, Hidenobu
    Ishikuro, Mami
    Obara, Taku
    Yamaura, Takumi
    Kamimoto, Masahiro
    Majima, Kazuhiro
    [J]. EUROPEAN RADIOLOGY, 2023, 33 (12) : 9309 - 9319
  • [5] Efficacy of exponentiation method with a convolutional neural network for classifying lung nodules on CT images by malignancy level
    Takuma Usuzaki
    Kengo Takahashi
    Hidenobu Takagi
    Mami Ishikuro
    Taku Obara
    Takumi Yamaura
    Masahiro Kamimoto
    Kazuhiro Majima
    [J]. European Radiology, 2023, 33 : 9309 - 9319
  • [6] Hierarchical bilinear convolutional neural network for image classification
    Zhang, Xiang
    Tang, Lei
    Luo, Hangzai
    Zhong, Sheng
    Guan, Ziyu
    Chen, Long
    Zhao, Chao
    Peng, Jinye
    Fan, Jianping
    [J]. IET COMPUTER VISION, 2021, 15 (03) : 197 - 207
  • [7] Artificial neural network based classification of lung nodules in CT images using intensity, shape and texture features
    Shaukat, Fursian
    Raja, Gulistan
    Ashraf, Rehan
    Khalid, Shehzad
    Ahmad, Mudassar
    Ali, Amjad
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (10) : 4135 - 4149
  • [8] Artificial neural network based classification of lung nodules in CT images using intensity, shape and texture features
    Furqan Shaukat
    Gulistan Raja
    Rehan Ashraf
    Shehzad Khalid
    Mudassar Ahmad
    Amjad Ali
    [J]. Journal of Ambient Intelligence and Humanized Computing, 2019, 10 : 4135 - 4149
  • [9] Squeeze-and-Excitation Convolutional Neural Network for Classification of Malignant and Benign Lung Nodules
    Chen, Ying
    Du, Weiwei
    Duan, Xiaojie
    Ma, Yanhe
    Zhang, Hong
    [J]. JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY, 2021, 12 (02) : 153 - 158
  • [10] A Tri-Scale Convolutional Neural Network Model on Lung CT Nodules Recognition
    Zheng, Guangyuan
    Soomro, Nouman Q.
    Ma, Linjuan
    Han, Guanghui
    Liu, Weihua
    Zhao, Yanfeng
    Zhao, Xinming
    Zhou, Chunwu
    Zhang, Fuquan
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2019, 124 : 27 - 27
12345