Scopus
Evaluation of Deep Learning Models for Lower Extremity Muscle Segmentation in Thermal Imaging
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · Ocak 2023
Makale Bilgileri
DergiLecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
Yayın TarihiOcak 2023
Cilt / Sayfa14298 LNCS · 109-120
Scopus ID2-s2.0-85174491889
Özet
Competition and market size in sports are constantly increasing. In this case, one of the biggest problems of sports clubs is athlete injuries. Especially in football, athlete injury costs are very high. However, most injuries are non-contact and preventable. Sports medicine specialists utilise many medical imaging methods for the prevention of sports injuries. Thermography is an imaging method that has been used in the examination of sports injuries in recent years. Fast and accurate segmentation of muscle regions in thermal images enables more objective analyses. In this study, lower extremity thermal images were taken from football players of a super league club for a certain period of time. From these raw thermal images, 9 different muscle groups of the athletes were labelled and a dataset was created. U-Net, FPN, Linknet and PSPNet segmentation models were trained with this dataset. IoU, F1, Precision, Recall, Precision, Recall evaluation metrics were used to evaluate these models. In the separate models trained for each muscle group, the IoU value achieved over 95% success. When the results of the study are analysed, it is discussed that these segmentation models can be used as a critical tool in injury analysis and evaluation in athletes.
Yazarlar (4)
1
Mehmet Celalettin Ergene
ORCID: 0000-0003-1167-146X
2
Ahmet Bayrak
3
Mahmut Çevik
ORCID: 0009-0001-8630-9564
4
Murat Ceylan
Anahtar Kelimeler
Injury Prevention
Sports Injury
Thermal Segmentation
Kurumlar
AIVISIONTECH Elektronik Yazılım A.Ş.
Konya Turkey
Konya Technical University
Konya Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
2
Atıf
4
Yazar
3
Anahtar Kelime