Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Nieminen, M. (M.T.)"'
Objective: To assess the ability of imaging-based deep learning to detect radiographic patellofemoral osteoarthritis (PFOA) from knee lateral view radiographs. Design: Knee lateral view radiographs were extracted from The Multicenter Osteoarthritis S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::4bca6dfcd08dae2ec9aca50ba4585037
http://urn.fi/urn:nbn:fi-fe2021081343241
http://urn.fi/urn:nbn:fi-fe2021081343241
Autor:
Kajabi, A. (A.W.), Casula, V. (V.), Nissi, M. (M.J.), Peuna, A. (A.), Podlipská, J. (J.), Lammentausta, E. (E.), Saarakkala, S. (S.), Guermazi, A. (A.), Nieminen, M. (M.T.)
Objective: To investigate the ability of magnetic resonance imaging (MRI) adiabatic relaxation times in the rotating frame (adiabatic T1ρ and T2ρ) to detect structural alterations in meniscus tissue of mild OA patients and asymptomatic volunteers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::c5b7941a66acf9ec7c41d3670bf657ef
http://urn.fi/urn:nbn:fi-fe2018042518500
http://urn.fi/urn:nbn:fi-fe2018042518500