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

doi:10.1007/978-3-030-64559-5_12

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 proceeding › Conference 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 language	English (US)
Title of host publication	Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings
Editors	George Bebis, Zhaozheng Yin, Edward Kim, Jan Bender, Kartic Subr, Bum Chul Kwon, Jian Zhao, Denis Kalkofen, George Baciu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	154-165
Number of pages	12
ISBN (Print)	9783030645588
DOIs	https://doi.org/10.1007/978-3-030-64559-5_12
State	Published - 2020
Event	15th International Symposium on Visual Computing, ISVC 2020 - San Diego, United States Duration: Oct 5 2020 → Oct 7 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12510 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Symposium on Visual Computing, ISVC 2020
Country/Territory	United States
City	San Diego
Period	10/5/20 → 10/7/20

Keywords

Deep learning
Knee radiographs
Total knee arthroplasty

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-64559-5_12

Cite this

Yan, S., Ramazanian, T., Sagheb, E., Fu, S., Sohn, S., Lewallen, D. G., Liu, H., Kremers, W. K., Chaudhary, V., Taunton, M., Kremers, H. M., & Tafti, A. P. (2020). DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. In G. Bebis, Z. Yin, E. Kim, J. Bender, K. Subr, B. C. Kwon, J. Zhao, D. Kalkofen, & G. Baciu (Eds.), Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings (pp. 154-165). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12510 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-64559-5_12

DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. / Yan, Shi; Ramazanian, Taghi; Sagheb, Elham et al.
Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings. ed. / George Bebis; Zhaozheng Yin; Edward Kim; Jan Bender; Kartic Subr; Bum Chul Kwon; Jian Zhao; Denis Kalkofen; George Baciu. Springer Science and Business Media Deutschland GmbH, 2020. p. 154-165 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12510 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yan, S, Ramazanian, T, Sagheb, E, Fu, S, Sohn, S, Lewallen, DG, Liu, H , Kremers, WK, Chaudhary, V, Taunton, M, Kremers, HM & Tafti, AP 2020, DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. in G Bebis, Z Yin, E Kim, J Bender, K Subr, BC Kwon, J Zhao, D Kalkofen & G Baciu (eds), Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12510 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 154-165, 15th International Symposium on Visual Computing, ISVC 2020, San Diego, United States, 10/5/20. https://doi.org/10.1007/978-3-030-64559-5_12

Yan S, Ramazanian T, Sagheb E, Fu S, Sohn S, Lewallen DG et al. DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. In Bebis G, Yin Z, Kim E, Bender J, Subr K, Kwon BC, Zhao J, Kalkofen D, Baciu G, editors, Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 154-165. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-64559-5_12

Yan, Shi ; Ramazanian, Taghi ; Sagheb, Elham et al. / DeepTKAClassifier : Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings. editor / George Bebis ; Zhaozheng Yin ; Edward Kim ; Jan Bender ; Kartic Subr ; Bum Chul Kwon ; Jian Zhao ; Denis Kalkofen ; George Baciu. Springer Science and Business Media Deutschland GmbH, 2020. pp. 154-165 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{39a88e7b7b754b0e952aff45056fd557,

title = "DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks",

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.",

keywords = "Deep learning, Knee radiographs, Total knee arthroplasty",

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

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 15th International Symposium on Visual Computing, ISVC 2020 ; Conference date: 05-10-2020 Through 07-10-2020",

year = "2020",

doi = "10.1007/978-3-030-64559-5_12",

language = "English (US)",

isbn = "9783030645588",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "154--165",

editor = "George Bebis and Zhaozheng Yin and Edward Kim and Jan Bender and Kartic Subr and Kwon, {Bum Chul} and Jian Zhao and Denis Kalkofen and George Baciu",

booktitle = "Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings",

}

TY - GEN

T1 - DeepTKAClassifier

T2 - 15th International Symposium on Visual Computing, ISVC 2020

AU - Yan, Shi

AU - Ramazanian, Taghi

AU - Sagheb, Elham

AU - Fu, Sunyang

AU - Sohn, Sunghwan

AU - Lewallen, David G.

AU - Liu, Hongfang

AU - Kremers, Walter K.

AU - Chaudhary, Vipin

AU - Taunton, Michael

AU - Kremers, Hilal Maradit

AU - Tafti, Ahmad P.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Deep learning

KW - Knee radiographs

KW - Total knee arthroplasty

UR - http://www.scopus.com/inward/record.url?scp=85098220344&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85098220344&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-64559-5_12

DO - 10.1007/978-3-030-64559-5_12

M3 - Conference contribution

AN - SCOPUS:85098220344

SN - 9783030645588

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 154

EP - 165

BT - Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings

A2 - Bebis, George

A2 - Yin, Zhaozheng

A2 - Kim, Edward

A2 - Bender, Jan

A2 - Subr, Kartic

A2 - Kwon, Bum Chul

A2 - Zhao, Jian

A2 - Kalkofen, Denis

A2 - Baciu, George

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 5 October 2020 through 7 October 2020

ER -

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this