Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis …

J Martel-Pelletier, P Paiement… - Therapeutic Advances …, 2023 - journals.sagepub.com
Knee osteoarthritis (OA) is a prevalent and disabling disease that can develop over
decades. This disease is heterogeneous and involves structural changes in the whole joint …

Automatic knee meniscus tear detection and orientation classification with Mask-RCNN

V Couteaux, S Si-Mohamed, O Nempont… - Diagnostic and …, 2019 - Elsevier
Purpose This work presents our contribution to a data challenge organized by the French
Radiology Society during the Journées Francophones de Radiologie in October 2018. This …

[HTML][HTML] Automatic segmentation of knee menisci–A systematic review

MM Rahman, L Duerselen, AM Seitz - Artificial Intelligence in Medicine, 2020 - Elsevier
Magnetic resonance imaging (MRI) has proved to be an invaluable component of
pathogenesis research in osteoarthritis. Nevertheless, the detection of a meniscal lesion …

Deep learning‐and transfer learning‐based super resolution reconstruction from single medical image

YN Zhang, MQ An - Journal of healthcare engineering, 2017 - Wiley Online Library
Medical images play an important role in medical diagnosis and research. In this paper, a
transfer learning‐and deep learning‐based super resolution reconstruction method is …

An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images

A Saygılı, S Albayrak - Artificial Intelligence in Medicine, 2019 - Elsevier
Menisci are structures that directly affect movement, so early detection of meniscus tears
also helps to prevent progressive knee disorders such as osteoarthritis. Manual …

A computer-aided type-II fuzzy image processing for diagnosis of meniscus tear

MHF Zarandi, A Khadangi, F Karimi… - Journal of digital imaging, 2016 - Springer
Meniscal tear is one of the prevalent knee disorders among young athletes and the aging
population, and requires correct diagnosis and surgical intervention, if necessary. Not only …

The use of artificial intelligence in the evaluation of knee pathology

ER Garwood, R Tai, G Joshi - Seminars in Musculoskeletal …, 2020 - thieme-connect.com
Artificial intelligence (AI) holds the potential to revolutionize the field of radiology by
increasing the efficiency and accuracy of both interpretive and noninterpretive tasks. We …

Visual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment

A Luo, S Gou, N Tong, B Liu, L Jiao, H Xu, Y Wang… - NPJ Digital …, 2024 - nature.com
Meniscal injury represents a common type of knee injury, accounting for over 50% of all
knee injuries. The clinical diagnosis and treatment of meniscal injury heavily rely on …

Knee meniscus segmentation and tear detection from MRI: a review

A Saygili, S Albayrak - Current Medical Imaging, 2020 - ingentaconnect.com
Background: Automatic diagnostic systems in medical imaging provide useful information to
support radiologists and other relevant experts. The systems that help radiologists in their …

A new computer-based approach for fully automated segmentation of knee meniscus from magnetic resonance images

A Saygılı, S Albayrak - Biocybernetics and Biomedical Engineering, 2017 - Elsevier
Menisci are tissues that enable mobility and absorb excess loads on the knee. Problems in
meniscus can trigger the disorder of osteoarthritis (OA). OA is one of the most common …