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Article

Musculoskeletal Images Classification for Detection of Fractures Using Transfer Learning

1
Nova Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312 Lisboa, Portugal
2
School of Economics and Business, University of Ljubljana, Kardeljeva Ploščad 17, 1000 Ljubljana, Slovenia
*
Author to whom correspondence should be addressed.
Received: 20 August 2020 / Revised: 13 November 2020 / Accepted: 20 November 2020 / Published: 23 November 2020
(This article belongs to the Special Issue Deep Learning in Medical Image Analysis)
The classification of the musculoskeletal images can be very challenging, mostly when it is being done in the emergency room, where a decision must be made rapidly. The computer vision domain has gained increasing attention in recent years, due to its achievements in image classification. The convolutional neural network (CNN) is one of the latest computer vision algorithms that achieved state-of-the-art results. A CNN requires an enormous number of images to be adequately trained, and these are always scarce in the medical field. Transfer learning is a technique that is being used to train the CNN by using fewer images. In this paper, we study the appropriate method to classify musculoskeletal images by transfer learning and by training from scratch. We applied six state-of-the-art architectures and compared their performance with transfer learning and with a network trained from scratch. From our results, transfer learning did increase the model performance significantly, and, additionally, it made the model less prone to overfitting. View Full-Text
Keywords: transfer learning; computer vision; convolutional neural networks; image classification; musculoskeletal images; deep learning; medical images transfer learning; computer vision; convolutional neural networks; image classification; musculoskeletal images; deep learning; medical images
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MDPI and ACS Style

Kandel, I.; Castelli, M.; Popovič, A. Musculoskeletal Images Classification for Detection of Fractures Using Transfer Learning. J. Imaging 2020, 6, 127. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging6110127

AMA Style

Kandel I, Castelli M, Popovič A. Musculoskeletal Images Classification for Detection of Fractures Using Transfer Learning. Journal of Imaging. 2020; 6(11):127. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging6110127

Chicago/Turabian Style

Kandel, Ibrahem; Castelli, Mauro; Popovič, Aleš. 2020. "Musculoskeletal Images Classification for Detection of Fractures Using Transfer Learning" J. Imaging 6, no. 11: 127. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging6110127

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