Prediction of anterior cruciate ligament injury from MRI using deep learning

Nguyen Khanh Hung Truong, Thuan Phuoc Nguyen, Quang Hien Kha, Ngoc Hoang Le, Van Tuan Le, Thi Cao, Ho Thanh Lam Luu, Nguyen Quoc Khanh Le, Jiunn Horng Kang

研究成果: 書貢獻/報告類型會議貢獻


Knee injury emerges as one of the most common diseases, causing dislocation of knee joints, immobility, etc., in which the anterior cruciate ligament (ACL) injury is the most common one. The development of various artificial intelligence (AI) frameworks gained enormous attention in many areas, including injury prediction and health management via medical image analysis. The objective of the current study is to focus on a comprehensive high accurate prediction of ACL injury based on MRI medical images, and also demonstrate the ability of AI in practical and outline conceptual prediction and diagnosis frameworks for other types of knee injuries in the future. Our dataset comprised of knee MRI reports from Cho Ray Hospital, Vietnam which are composed of ACL and non-ACL injury patients. The MRI images were used as supporting data in the deep learning classification model with DenseNet-121 algorithm. The successful establishment of an ACL injury diagnosis model from MRI will pave the way for us to develop more diagnostic models of other injuries in the body as well as the prediction of bone diseases.

主出版物標題International Forum on Medical Imaging in Asia 2021
編輯Ruey-Feng Chang
出版狀態已發佈 - 2021
事件International Forum on Medical Imaging in Asia 2021, IFMIA 2021 - Taipei, 臺灣
持續時間: 1月 24 20211月 26 2021


名字Proceedings of SPIE - The International Society for Optical Engineering


會議International Forum on Medical Imaging in Asia 2021, IFMIA 2021

ASJC Scopus subject areas

  • 電子、光磁材料
  • 凝聚態物理學
  • 電腦科學應用
  • 應用數學
  • 電氣與電子工程


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