Ultrasound Medial Epicondyle Avulsion Dataset
Akahori, Shizuka and Teruya, Shotaro and Shrestha, Pragyan and Yoshii, Yuichi and Iizuka, Satoshi and Ikumi, Akira and Tsuge, Hiromitsu and Kitahara, Itaru

@inproceedings{11175110,
author= {Akahori, Shizuka and Teruya, Shotaro and Shrestha, Pragyan and Yoshii, Yuichi and Iizuka, Satoshi and Ikumi, Akira and Tsuge, Hiromitsu and Kitahara, Itaru},
booktitle= {2025 19th International Conference on Machine Vision and Applications (MVA)},
title= {Detection of Medial Epicondyle Avulsion in Elbow Ultrasound Images via Bone Structure Reconstruction},
year= {2025},
pages= {1-5},
doi= {10.23919/MVA65244.2025.11175110},
keywords= {segmentation, ultrasound, Medical imaging, elbow, medial epicondyle, avulsion fracture, baseball},
abstract= {This dataset consists of ultrasound images of 16 current and former baseball players (8 normal and 8 with avulsion fractures), including 112 normal images and 112 avulsion images, for a total of 224 images. Participants are males aged 18 to 36 years old.


The images were acquired using musculoskeletal ultrasonography (SONIMAGE MX1, KONICA MINOLTA, Tokyo, Japan) with an 11-MHz linear probe by three experienced orthopedic surgeons. The participants lay on a bed with their elbows flexed at 90 degrees. Then, a surgeon moved the gel-applied probe around the medial elbow.},
terms= {},
license= {https://creativecommons.org/licenses/by-nc/4.0/},
superseded= {},
url= {https://github.com/Akahori000/Ultrasound-Medial-Epicondyle-Avulsion-Dataset}
}