Scopus
YÖKSİS Eşleşti
A new deep learning based end-to-end pipeline for hamstring injury detection in thermal images of professional football player
Quantitative Infrared Thermography Journal · Ocak 2025
YÖKSİS Kayıtları
A new deep learning based end-to-end pipeline for hamstring injury detection in thermal images of professional football player
Quantitative InfraRed Thermography Journal · 2024 SCI-Expanded
DOKTOR ÖĞRETİM ÜYESİ AHMET BAYRAK →
Makale Bilgileri
DergiQuantitative Infrared Thermography Journal
Yayın TarihiOcak 2025
Cilt / Sayfa22 · 248-265
Scopus ID2-s2.0-85197506565
Özet
Football clubs use various methods such as thermal imaging which is a non-invasive and faster method to detect injuries and increase the success rate of the football club by reducing the injury rate. Studies have proven that with thermal imaging it is possible to detect inflammation caused by an injury. Therefore, it is possible to detect potential injury with infrared thermography. One of the biggest handicaps of injury detection with thermal imaging is that it is open to subjective interpretation, there are many points that can be missed, and it takes time to analyse them one by one. In order to avoid this problem, to increase the success of injury detection, a deep learning supported pipeline has been designed in this study to detect injuries from thermal images. In this pipeline, the hamstring muscle region from the football player thermal images was segmented using U-Net architecture. After that in order to detect injuries, segmented muscle region is classified by using Densenet, Resnet, VGG, Efficientnet architectures variations and feature pyramid added at the end of these architectures. Among the architectures used for classification, the EfficientnetB0 and EfficientnetB1+feature pyramid architectures are the most successful, with accuracies of 83.9% and 81%, respectively.
Yazarlar (3)
1
Mehmet Celalettin Ergene
ORCID: 0000-0003-1167-146X
2
Ahmet Bayrak
3
Murat Ceylan
Anahtar Kelimeler
Deep learning
injury detection
muscle segmentation
sports medicine
thermography
Kurumlar
AIVISIONTECH Elektronik Yazılım A.Ş.
Konya Turkey
Konya Technical University
Konya Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
2
Atıf
3
Yazar
5
Anahtar Kelime