DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks

Shi Yan, Taghi Ramazanian, Elham Sagheb, Sunyang Fu, Sunghwan Sohn, David G. Lewallen, Hongfang Liu, Walter K. Kremers, Vipin Chaudhary, Michael Taunton, Hilal Maradit Kremers, Ahmad P. Tafti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Total knee arthroplasty (TKA) is one of the most successful surgical procedures worldwide. It improves quality of life, mobility, and functionality for the vast majority of patients. However, a TKA surgery may fail over time for several reasons, thus it requires a revision arthroplasty surgery. Identifying TKA implants is a critical consideration in preoperative planning of revision surgery. This study aims to develop, train, and validate deep convolutional neural network models to precisely classify four widely-used TKA implants based on only plain knee radiographs. Using 9,052 computationally annotated knee radiographs, we achieved weighted average precision, recall, and F1-score of 0.97, 0.97, and 0.97, respectively, with Cohen Kappa of 0.96.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings
EditorsGeorge Bebis, Zhaozheng Yin, Edward Kim, Jan Bender, Kartic Subr, Bum Chul Kwon, Jian Zhao, Denis Kalkofen, George Baciu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages154-165
Number of pages12
ISBN (Print)9783030645588
DOIs
StatePublished - 2020
Event15th International Symposium on Visual Computing, ISVC 2020 - San Diego, United States
Duration: Oct 5 2020Oct 7 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12510 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Symposium on Visual Computing, ISVC 2020
CountryUnited States
CitySan Diego
Period10/5/2010/7/20

Keywords

  • Deep learning
  • Knee radiographs
  • Total knee arthroplasty

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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