CNN attention guidance for improved orthopedics radiographic fracture classification

Journal article


Liao, Zhibin, Liao, Kewen, Shen, Haifeng, van Boxel, Marouska F, Prijs, Jasper, Jaarsma, Ruurd L., Doornberg, Job N., van den Hengel, Anton and Verjans, Johan W.. (2022). CNN attention guidance for improved orthopedics radiographic fracture classification. IEEE Journal of Biomedical and Health Informatics. 26(7), pp. 3139-3150. https://doi.org/10.1109/JBHI.2022.3152267
AuthorsLiao, Zhibin, Liao, Kewen, Shen, Haifeng, van Boxel, Marouska F, Prijs, Jasper, Jaarsma, Ruurd L., Doornberg, Job N., van den Hengel, Anton and Verjans, Johan W.
Abstract

Convolutional neural networks (CNNs) have gained significant popularity in orthopedic imaging in recent years due to their ability to solve fracture classification problems. A common criticism of CNNs is their opaque learning and reasoning process, making it difficult to trust machine diagnosis and the subsequent adoption of such algorithms in clinical setting. This is especially true when the CNN is trained with limited amount of medical data, which is a common issue as curating sufficiently large amount of annotated medical imaging data is a long and costly process. While interest has been devoted to explaining CNN learnt knowledge by visualizing network attention, the utilization of the visualized attention to improve network learning has been rarely investigated. This paper explores the effectiveness of regularizing CNN network with human-provided attention guidance on where in the image the network should look for answering clues. On two orthopedics radiographic fracture classification datasets, through extensive experiments we demonstrate that explicit human-guided attention indeed can direct correct network attention and consequently significantly improve classification performance. The development code for the proposed attention guidance is publicly available on https://github.com/zhibinliao89/fracture_attention_guidance.

KeywordsCNN; deep learning; network attention; orthopedics fracture classification; radiology; X-rays
Year2022
JournalIEEE Journal of Biomedical and Health Informatics
Journal citation26 (7), pp. 3139-3150
PublisherInstitute of Electrical and Electronics Engineers
ISSN2168-2194
2168-2208
Digital Object Identifier (DOI)https://doi.org/10.1109/JBHI.2022.3152267
Scopus EID2-s2.0-8512534573
Research or scholarlyResearch
Page range3139-3150
Publisher's version
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All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online22 Feb 2022
Publication process dates
Deposited18 Aug 2022
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Reilly, Mark, Shen, Haifeng, Calder, Paul and Duh, Henry. (2015). Sustaining cognitive diversity in collaborative learning through shared spatially separated virtual workspaces on mobile devices. In In Wyeld, T., Calder, P. and Shen, H. (Ed.). Computer-human interaction: Cognitive effects of spatial interaction, learning, and ability pp. 171 - 193 Springer International Publishing. https://doi.org/10.1007/978-3-319-16940-8_9
LP-based approximation algorithms for reliable resource allocation
Liao, Kewen and Shen, Hong. (2014). LP-based approximation algorithms for reliable resource allocation. The Computer Journal. 57(1), pp. 154-164. https://doi.org/10.1093/comjnl/bxs164
On the shallow-light Steiner tree problem
Guo, Longkun, Liao, Kewen and Shen, Hong. (2014). On the shallow-light Steiner tree problem. 15th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2014). Hong Kong, China 09 - 14 Dec 2014 IEEE Computer Society. pp. 56-60 https://doi.org/10.1109/PDCAT.2014.17
Effect of off-zenith observations on reducing the impact of precipitation on ground-based microwave radiometer measurement accuracy
Xu, Guirong, Stick Ware, Randolph, Zhang, Wengang, Feng, Guangliu, Liao, Kewen and Liu, Yibing. (2014). Effect of off-zenith observations on reducing the impact of precipitation on ground-based microwave radiometer measurement accuracy. Atmospheric Research. 140-141, pp. 85 - 94. https://doi.org/10.1016/j.atmosres.2014.01.021
Towards a collaborative classroom through shared workspaces on mobile devices
Reilly, Mark, Shen, Haifeng, Calder, Paul and Duh, Henry. (2014). Towards a collaborative classroom through shared workspaces on mobile devices. BCS-HCI '14: The 28th International BCS Human Computer Interaction Conference on HCI 2014 - Sand, Sea and Sky - Holiday HCI. United Kingdom: Electronic Workshops in Computing. pp. 335 - 340
Stimulating high quality social media through knowledge barter-auctioning
Ji, Qijin, Shen, Haifeng, Mao, Yuqing and Zhu, Yanqing. (2014). Stimulating high quality social media through knowledge barter-auctioning. SocialCom '14: The 2014 International Conference on Social Computing, August 04-07 2014, Beijing, China. United States of America: Association for Computing Machinery (ACM). pp. 4 - 11 https://doi.org/10.1145/2639968.2640068
SORC: Service-oriented distributed revision control for collaborative web programming
Bin Sarib, Ahmad Sholehin and Shen, Haifeng. (2014). SORC: Service-oriented distributed revision control for collaborative web programming. 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2014), Hsinchu, Taiwan, 21-23 May 2014. United States of America: IEEE Computer Society. pp. 638 - 643 https://doi.org/10.1109/CSCWD.2014.6846919