Knee Implant Identification by Fine-Tuning Deep Learning Models

被引：0
|
作者：
Sukkrit Sharma
Vineet Batta
Malathy Chidambaranathan
Prabhakaran Mathialagan
Gayathri Mani
M. Kiruthika
Barun Datta
Srinath Kamineni
Guruva Reddy
Suhas Masilamani
Sandeep Vijayan
Derek F. Amanatullah
机构：
[1] SRM Institute of Science and Technology,Department of Computer Science and Engineering, School of Computing
[2] Luton and Dunstable University College London Hospitals NHS Foundation Trust,Department of Orthopaedic
[3] Army Research and Referral,Kasturba Medical College, Manipal
[4] University of Kentucky,Department of Orthopaedic Surgery
[5] Liverpool Hospital,undefined
[6] Montifiore Children Health Center,undefined
[7] Manipal Academy of Higher Education,undefined
[8] Stanford University,undefined
来源：
Indian Journal of Orthopaedics | 2021年 / 55卷
关键词：
Knee implant; Revision arthroplasty; Implant identification; Deep learning; Image processing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1295 / 1305
页数：10
相关论文
共 50 条
  • [1] Knee Implant Identification by Fine-Tuning Deep Learning Models
    Sharma, Sukkrit
    Batta, Vineet
    Chidambaranathan, Malathy
    Mathialagan, Prabhakaran
    Mani, Gayathri
    Kiruthika, M.
    Datta, Barun
    Kamineni, Srinath
    Reddy, Guruva
    Masilamani, Suhas
    Vijayan, Sandeep
    Amanatullah, Derek F.
    INDIAN JOURNAL OF ORTHOPAEDICS, 2021, 55 (05) : 1295 - 1305
  • [2] A comparative study of fine-tuning deep learning models for plant disease identification
    Too, Edna Chebet
    Li Yujian
    Njuki, Sam
    Liu Yingchun
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 161 : 272 - 279
  • [3] A Deep Transfer Learning Approach to Fine-Tuning Facial Recognition Models
    Luttrell, Joseph
    Zhou, Zhaoxian
    Zhang, Yuanyuan.
    Zhang, Chaoyang
    Gong, Ping
    Yang, Bei
    Li, Runzhi
    PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 2671 - 2676
  • [4] Rebetiko Singer Identification: Fine-tuning and explaining deep pretrained transformer models
    Papakostas, Maximos Kaliakatsos
    Zacharakis, Asterios
    Velenis, Konstantinos
    Cambouropoulos, Emilios
    PROCEEDINGS OF THE 19TH INTERNATIONAL AUDIO MOSTLY CONFERENCE, AM 2024, 2024, : 285 - 291
  • [5] Learning from models beyond fine-tuning
    Zheng, Hongling
    Shen, Li
    Tang, Anke
    Luo, Yong
    Hu, Han
    Du, Bo
    Wen, Yonggang
    Tao, Dacheng
    NATURE MACHINE INTELLIGENCE, 2025, 7 (01) : 6 - 17
  • [6] On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves
    Malliga Subramanian
    Kogilavani Shanmugavadivel
    P. S. Nandhini
    Neural Computing and Applications, 2022, 34 : 13951 - 13968
  • [7] On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves
    Subramanian, Malliga
    Shanmugavadivel, Kogilavani
    Nandhini, P. S.
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (16): : 13951 - 13968
  • [8] How fine can fine-tuning be? Learning efficient language models
    Radiya-Dixit, Evani
    Wang, Xin
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108, 2020, 108 : 2435 - 2442
  • [9] Fine-Tuning Transformer Models Using Transfer Learning for Multilingual Threatening Text Identification
    Rehan, Muhammad
    Malik, Muhammad Shahid Iqbal
    Jamjoom, Mona Mamdouh
    IEEE ACCESS, 2023, 11 : 106503 - 106515
  • [10] Twice fine-tuning deep neural networks for paraphrase identification
    Ko, Bowon
    Choi, Ho-Jin
    ELECTRONICS LETTERS, 2020, 56 (09) : 444 - 446
12345