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- research-articleFebruary 2022
Predicting Rotator Cuff Tear Severity Using Radiographic Images and Machine Learning Techniques
- Yusik Cho,
- Alena Jalics,
- Ding Lv,
- Marissa Gilbert,
- Kathy Dickson,
- Dawei Chen,
- Thomas Nguyen,
- Hannah Joines,
- Brandon Kakos,
- Chaoyang Chen,
- Stephen Lemos
ICCPR '21: Proceedings of the 2021 10th International Conference on Computing and Pattern RecognitionPages 237–241https://doi.org/10.1145/3497623.3497661Rotator cuff (RC) tears can cause acromion sclerosis associated with quantitative correlation between the severity of tear and severity of acromial sclerosis. The object of this study was to determine the effectiveness of X-ray image processing by ...
- articleMarch 2018
Analysis and Fem Simulation Methodology of Dynamic Behavior of Human Rotator Cuff in Repetitive Routines: Musician Case Study
- Manuel Islan,
- Fernando Blaya,
- Pilar San Pedro,
- Roberto D'amato,
- Emilio Lechosa Urquijo,
- Juan Antonio Juanes
Journal of Medical Systems (JMSY), Volume 42, Issue 3Pages 1–10https://doi.org/10.1007/s10916-018-0908-7The majority of musculoskeletal injuries located in the shoulder are often due to repetitive or sustained movements that occur in work routines in different areas. In the case of musicians, such as violinists, who have long and daily training routines, ...
- research-articleJanuary 2018
A fuzzy C-means quantization based automatic extraction of rotator cuff tendon tears from ultrasound images
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 35, Issue 1Pages 149–158https://doi.org/10.3233/JIFS-169576Rotator cuff tear is a common cause of shoulder pain and disability. It is especially critical for elderly people since such injuries are strongly related with age and reduce the quality of life due to the shoulder pain and weakness with shoulder flexion ...