Dental X-ray Image Segmentation using Octave Convolution Neural Network

被引：2
|
作者：
Kaya, Mete Can [1 ]
Akar, Gozde Bozdagi [1 ]
机构：
[1] Orta Dogu Tekn Univ, Elekt & Elekt Muhendisligi, Ankara, Turkey
来源：
2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2020年
关键词：
Unet; Octave Convolution; CNN; Focal Loss; Dental X-ray Image Segmentation;
D O I：
10.1109/siu49456.2020.9302495
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we present a Unet architecture made of octave convolution for dental image segmentation problem. In this architecture, the requirements for memory and accuracy are significantly improved compared to previous works in the literature. Compare to state-of-art models on this topic the classification accuracy in dental image segmentation is increased by %2, and the memory usage is decreased by %70. Suggested architecture showed a performance of success on 15B12015 dataset.
引用
收藏
页数：4
相关论文
共 50 条
  • [31] Lightweight deep learning methods for panoramic dental X-ray image segmentation
    Lin, Songyue
    Hao, Xuejiang
    Liu, Yan
    Yan, Dong
    Liu, Jianwei
    Zhong, Mingjun
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (11): : 8295 - 8306
  • [32] Dental X-Ray Image Segmentation and Object Detection Based on Phase Congruency
    Sattar, F.
    Karray, F. O.
    IMAGE ANALYSIS AND RECOGNITION, PT II, 2012, 7325 : 172 - 179
  • [33] Offline Efficient Signature Authentication Using Octave Convolution Neural Network
    Gutub, Adnan
    Altalhi, Sahar
    Ghazwani, Budur
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2025,
  • [34] Automatic Guidewire Tip Segmentation in 2D X-ray Fluoroscopy Using Convolution Neural Networks
    Wu, Yu-Dong
    Xie, Xiao-Liang
    Bian, Gui-Bin
    Hou, Zeng-Guang
    Cheng, Xiao-Ran
    Chen, Sheng
    Liu, Shi-Qi
    Wang, Qiao-Li
    2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018,
  • [35] Detecting Breast Cancer in X-RAY Images Using Image Segmentation Algorithm and Neural Networks
    Gdeeb R.T.
    Informatica (Slovenia), 2023, 47 (09): : 1 - 10
  • [36] RETRACTED ARTICLE: Periapical dental X-ray image classification using deep neural networks
    Dipit Vasdev
    Vedika Gupta
    Shubham Shubham
    Ankit Chaudhary
    Nikita Jain
    Mehdi Salimi
    Ali Ahmadian
    Annals of Operations Research, 2023, 326 : 161 - 161
  • [37] AngioNet: a convolutional neural network for vessel segmentation in X-ray angiography
    Kritika Iyer
    Cyrus P. Najarian
    Aya A. Fattah
    Christopher J. Arthurs
    S. M. Reza Soroushmehr
    Vijayakumar Subban
    Mullasari A. Sankardas
    Raj R. Nadakuditi
    Brahmajee K. Nallamothu
    C. Alberto Figueroa
    Scientific Reports, 11
  • [38] AngioNet: a convolutional neural network for vessel segmentation in X-ray angiography
    Iyer, Kritika
    Najarian, Cyrus P.
    Fattah, Aya A.
    Arthurs, Christopher J.
    Soroushmehr, S. M. Reza
    Subban, Vijayakumar
    Sankardas, Mullasari A.
    Nadakuditi, Raj R.
    Nallamothu, Brahmajee K.
    Figueroa, C. Alberto
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [39] Using Bi-planar X-Ray Images to Reconstruct the Spine Structure by the Convolution Neural Network
    Chen, Chih-Chia
    Fang, Yu-Hua
    FUTURE TRENDS IN BIOMEDICAL AND HEALTH INFORMATICS AND CYBERSECURITY IN MEDICAL DEVICES, ICBHI 2019, 2020, 74 : 80 - 85
  • [40] ConvUNeXt: An efficient convolution neural network for medical image segmentation
    Han, Zhimeng
    Jian, Muwei
    Wang, Gai-Ge
    KNOWLEDGE-BASED SYSTEMS, 2022, 253
12345