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Self-Supervised Representation Learning for Detection of ACL Tear Injury in Knee MR Videos [article]

Siladittya Manna, Saumik Bhattacharya, Umapada Pal
2020 arXiv   pre-print
classification of Anterior Cruciate Ligament tear injury from knee MRI.  ...  To the best of our knowledge, none of the supervised learning models performing injury classification task from MR video provide any explanation for the decisions made by the models and hence makes our  ...  In our paper, we have presented the results pertaining to detection of ACL tear injury in Knee MRI.  ... 
arXiv:2007.07761v3 fatcat:vydnytb6t5ahnhiwky6osrlvmu

Knee Injury Detection Using Deep Learning on MRI Studies: A Systematic Review

Athanasios Siouras, Serafeim Moustakidis, Archontis Giannakidis, Georgios Chalatsis, Ioannis Liampas, Marianna Vlychou, Michael Hantes, Sotiris Tasoulis, Dimitrios Tsaopoulos
2022 Diagnostics  
In recent years, deep-learning-based approaches have monopolized knee injury detection in MRI studies.  ...  There are several possible avenues of further exploration of deep learning for improving MRI-based knee injury diagnosis.  ...  Conflicts of Interest: The authors declare no conflict of interest. Diagnostics 2022, 12, 537  ... 
doi:10.3390/diagnostics12020537 pmid:35204625 pmcid:PMC8871256 fatcat:xp7vdedh35exjhakh7qvdzorie

Efficient Detection of Knee Anterior Cruciate Ligament from Magnetic Resonance Imaging Using Deep Learning Approach

Mazhar Javed Awan, Mohd Shafry Mohd Rahim, Naomie Salim, Mazin Abed Mohammed, Begonya Garcia-Zapirain, Karrar Hameed Abdulkareem
2021 Diagnostics  
The proposing diagnostic results indicated that our model could be used to detect automatically and evaluate ACL injuries in athletes using the proposed deep-learning approach.  ...  For our proposed ResNet-14 CNN the average area under curves (AUCs) for healthy tear, partial tear and fully ruptured tear had results of 0.980%, 0.970%, and 0.999%, respectively.  ...  Data Availability Statement: We are using this dataset in our work from Clinical Hospital Centre Rijeka, under reference [23] .  ... 
doi:10.3390/diagnostics11010105 pmid:33440798 pmcid:PMC7826961 fatcat:cglq36s4v5a7bf7wjqpbi5dl4q

TransMed: Transformers Advance Multi-Modal Medical Image Classification

Yin Dai, Yifan Gao, Fayu Liu
2021 Diagnostics  
We evaluated our model on two datasets, parotid gland tumors classification and knee injury classification.  ...  Over the past decade, convolutional neural networks (CNN) have shown very competitive performance in medical image analysis tasks, such as disease classification, tumor segmentation, and lesion detection  ...  Each case was labeled according to the anterior cruciate ligament (ACL) tear, meniscus tear, or other signs of abnormalities in the corresponding knee (abnormal).  ... 
doi:10.3390/diagnostics11081384 fatcat:pmxykecxpnfexenaryptpd6mxq

Automatic Annotation of Narrative Radiology Reports

Ivan Krsnik, Goran Glavaš, Marina Krsnik, Damir Miletić, Ivan Štajduhar
2020 Diagnostics  
This paper tackles the problem of developing an automated method of labeling free-form radiology reports, as a precursor for building query-capable report databases in hospitals.  ...  Narrative texts in electronic health records can be efficiently utilized for building decision support systems in the clinic, only if they are correctly interpreted automatically in accordance with a specified  ...  assessing anterior cruciate ligament (ACL) injuries in a human knee from MRI scans [22] .  ... 
doi:10.3390/diagnostics10040196 pmid:32244833 pmcid:PMC7235892 fatcat:37e7qv6ebbed7m6ys6yj4xpw24

Emergence of Deep Learning in Knee Osteoarthritis Diagnosis

Pauline Shan Qing Yeoh, Khin Wee Lai, Siew Li Goh, Khairunnisa Hasikin, Yan Chai Hum, Yee Kai Tee, Samiappan Dhanalakshmi, Bai Yuan Ding
2021 Computational Intelligence and Neuroscience  
Acknowledging that changes in a knee joint is a 3D complexity, 3D CNN has been employed to analyse the joint problem for a more accurate diagnosis in the recent years.  ...  We reviewed 74 studies related to classification and segmentation of knee osteoarthritis from the Web of Science database and discussed the various state-of-the-art deep learning approaches proposed.  ...  Acknowledgments e authors would like to acknowledge the funding support of Ministry of Higher Education Malaysia and Universiti Malaya under FRGS project (FRGS/1/2018/TK04/UM/02/9) and UTAR Research Fund  ... 
doi:10.1155/2021/4931437 pmid:34804143 pmcid:PMC8598325 fatcat:ctxoil3765cklnvwksyflrepe4


2010 Journal of athletic training  
This 2003 NATA Hall of Fame inductee is a noted pioneer of terminal degrees in sports medicine, and his dedication to athletic training is making an impact on the profession's development even today.  ...  is a respected researcher, educator, mentor and friend of athletic training.  ...  MRI findings showed no injury to the MCL or ACL, but revealed a double PCL sign consistent with a bucket handle tear of the medial meniscus.  ... 
doi:10.4085/1062-6050-45.3.s1 pmid:20586582 pmcid:PMC4623817 fatcat:wtmxloxbcncyzeq24gnmrxupym

Law and Policy Approaches to Sex-based Disparities in Musculoskeletal Health Care

Frank Griffin
2019 Indiana Health Law Review  
For example, in sports medicine, female athletes are two to eight times more likely to tear their ACL (knee) than their male counterparts participating in the same sports and to have worse outcomes after  ...  Continuing to acknowledge and embrace sex-based differences in musculoskeletal medical care will lead to improvements in the health and health care for everyone.  ...  For example, with regard to ACL tears in the knee, sex-based smaller boney dimensions and possibly unfavorable ACL attachment orientation have not been proven to have a causal relationship to ACL injury  ... 
doi:10.18060/23298 fatcat:w254tnz5xrgjfj6hdbrhz3vo2m

Supplementum 236: swiss orthopaedics, 79th annual meeting

2019 Swiss Medical Weekly  
In addition, previously known MRI risk factors associated with ACL injury were analyzed.  ...  Results: In 540 patients primary plain x-ray was performed. An injury was detected in ten patients (2%). In 390 patients additional CT/MRI was conducted.  ...  Methods: MRIs of the knee of patients aged 8 to 16 years with ACL tears have been selected from the Institution database.  ... 
doi:10.4414/smw.2019.20438 fatcat:fruhdz3hwre5td4osxvycvey5a

Muscle Contributions To Knee Joint Stability

Aaron J. Derouin, James R. Potvin
2007 Medicine & Science in Sports & Exercise  
For example, meniscal tears are associated with 41% to 68 % of acute ACL injuries (Moore, 2002) .  ...  ACL injuries are graded on a 4 point scale: grade 0 = intact ligament, grade 1 = partial tear with less than half of ligament disrupted, grade 2 = partial tear with more than half of ligament disrupted  ... 
doi:10.1249/01.mss.0000273097.32942.4a fatcat:7jy4paud5ravhfp7jajgbeb6du

Mechanical Insufflation???Exsufflation Improves Outcomes for Neuromuscular Disease Patients with Respiratory Tract Infections

Andrea Vianello, Antonio Corrado, Giovanna Arcaro, Federico Gallan, Carlo Ori, Michele Minuzzo, Matteo Bevilacqua
2005 American Journal of Physical Medicine & Rehabilitation  
ABSTRACT Dugan SA: Sports-related knee injuries in female athletes: What gives? Am J Phys Med Rehabil 2005;84:122-130.  ...  We present a case of an otherwise healthy 40-yr-old man who presented for evaluation of stiffness and pain in the anterior hip.  ...  injury in women, specifically noncontact ACL tears.  ... 
doi:10.1097/01.phm.0000151941.97266.96 pmid:15668554 fatcat:ka5tb7vfhbbs5mfpbh4wwuywba

Frequency of injuries and health status of football players in Bosnia; classification by gender and age

Ratko Peric, Radojka Peric
2013 Zenodo  
METHODS: Research was conducted at the Institute for Sport and Occupational Medicine in Banja Luka, Bosnia in time period of one year.  ...  Both sexes were equally diagnosed with injuries and illnesses of muscular tissue and of the digestive system as well as cardiovascular problems.  ...  Previous ACL reconstruction is a risk factor for ACL injury, both in the contralateral knee and for reinjury of the ACL graft.  ... 
doi:10.5281/zenodo.4575221 fatcat:gps3ldi3crhmhjxoandbui77je


2015 Journal of athletic training  
Influence of Hip Strength on Lower Extremity Kinematics Differs Among Functional Tasks Nguyen A, Crisafulli GA, Keith JL, Baellow AL, Boling MC: High Point University, High Point, NC, and University of  ...  Previous history of ankle or knee injuries was self-reported.  ...  Injuries were categorized as anterior cruciate ligament tears (ACL, N = 55), anterior knee pain (AKP, N = 51), patellar instability (PAT, N = 16), meniscus tear (MNT, N = 9), collateral ligament sprain  ... 
doi:10.4085/1062-6050-50.6.s1 pmid:26087075 pmcid:PMC4538722 fatcat:bbycuhe65vhuxleebfchcm52ay

Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean

Balagopal Unnikrishnan, Cuong Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy
2021 Medical Image Analysis  
In realistic empirical evaluations on three public benchmark datasets spanning the workhorse modalities of radiology (X-Ray, CT, MRI), we show that NoTeacher achieves over 90-95% of the fully supervised  ...  Further, NoTeacher outperforms established SSL methods with minimal hyperparameter tuning, and has implications as a principled and practical option for semi-supervised learning in radiology applications  ...  We also thank Ashraf Kassim from the National University of Singapore for his support.  ... 
doi:10.1016/ pmid:34274693 fatcat:p5zj7c5nsjbj5pnhfqnb4yxvxa

ECR 2012 Book of Abstracts - A - Postergraduate Educational Programme

2012 Insights into Imaging  
The main indications for multimodality PET in the field of oncology, neurology and cardiology will be commented. Learning Objectives: 1.  ...  To date, contrastenhanced CT is the gold standard in the study of acute abdomen. MRI can add crucial additional information with its superior intrinsic contrast and the options of functional-MRI.  ...  MRI play an important role in evaluation of the knee after surgery or arthroscopy.  ... 
doi:10.1007/s13244-012-0153-4 pmid:22696127 pmcid:PMC3481066 fatcat:te6ctbtakzh5njsw43geghw3ta
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