Cargando…
The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images
OBJECTIVES: The KNee OsteoArthritis Prediction (KNOAP2020) challenge was organized to objectively compare methods for the prediction of incident symptomatic radiographic knee osteoarthritis within 78 months on a test set with blinded ground truth. DESIGN: The challenge participants were free to use...
Autores principales: | Hirvasniemi, J., Runhaar, J., van der Heijden, R.A., Zokaeinikoo, M., Yang, M., Li, X., Tan, J., Rajamohan, H.R., Zhou, Y., Deniz, C.M., Caliva, F., Iriondo, C., Lee, J.J., Liu, F., Martinez, A.M., Namiri, N., Pedoia, V., Panfilov, E., Bayramoglu, N., Nguyen, H.H., Nieminen, M.T., Saarakkala, S., Tiulpin, A., Lin, E., Li, A., Li, V., Dam, E.B., Chaudhari, A.S., Kijowski, R., Bierma-Zeinstra, S., Oei, E.H.G., Klein, S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323696/ https://www.ncbi.nlm.nih.gov/pubmed/36243308 http://dx.doi.org/10.1016/j.joca.2022.10.001 |
Ejemplares similares
-
Bone Density and Texture from Minimally Post-Processed Knee Radiographs in Subjects with Knee Osteoarthritis
por: Hirvasniemi, Jukka, et al.
Publicado: (2019) -
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs Using Deep Convolutional Neural Networks
por: Tiulpin, Aleksei, et al.
Publicado: (2020) -
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
por: Tiulpin, Aleksei, et al.
Publicado: (2018) -
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
por: Tiulpin, Aleksei, et al.
Publicado: (2019) -
Therapeutic Challenges for Knee Osteoarthritis
por: Imani, Farnad, et al.
Publicado: (2019)