Zobrazeno 1 - 10
of 23
pro vyhledávání: '"T Janvier"'
Autor:
E. Pampouille, J. Gautron, N. Même, null L.Dusart, M.J. Duclos, G. Benzoni, V. Gigaud, E. Folegatti, J-M. Thoby, M. Quentin, E. Lespessailles, T. Janvier, H. Toumi, A. Narcy
Publikováno v:
Animal - science proceedings. 13:632-633
Publikováno v:
Biomedical Signal Processing and Control. 39:474-485
Trabecular bone microarchitecture and bone mineral density (BMD) are two main factors related to osteoporotic fractures. Currently, however, microarchitecture is not evaluated in the clinical routine. In this paper, an oriented analysis method combin
Autor:
D. Loeuille, Hechmi Toumi, C. Lelong, M. Delplanque, T Janvier, Rachid Jennane, A. Valery, Khaled Harrar, Eric Lespessailles
Publikováno v:
Osteoarthritis and Cartilage
Osteoarthritis and Cartilage, Elsevier, 2017, 25 (2), pp.259-266. ⟨10.1016/j.joca.2016.10.005⟩
Osteoarthritis and Cartilage, Elsevier, 2017, 25 (2), pp.259-266. ⟨10.1016/j.joca.2016.10.005⟩
International audience; Objectives: To examine whether trabecular bone texture (TBT) parameters assessed on computed radiographs could predict knee osteoarthritis (OA) progression.Methods: This study was performed using data from the Osteoarthritis I
Autor:
Eric Lespessailles, Rachid Jennane, Rabia Riad, T Janvier, Hechmi Toumi, Abdelbasset Brahim, Laila Khedher
Publikováno v:
Computerized Medical Imaging and Graphics
Computerized Medical Imaging and Graphics, Elsevier, 2019, 73, pp.11-18. ⟨10.1016/j.compmedimag.2019.01.007⟩
Computerized Medical Imaging and Graphics, Elsevier, 2019, 73, pp.11-18. ⟨10.1016/j.compmedimag.2019.01.007⟩
This paper presents a fully developed computer aided diagnosis (CAD) system for early knee OsteoArthritis (OA) detection using knee X-ray imaging and machine learning algorithms. The X-ray images are first preprocessed in the Fourier domain using a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e055524f672b8b06deeb3d02d5cb0f1
https://hal.archives-ouvertes.fr/hal-03295671/document
https://hal.archives-ouvertes.fr/hal-03295671/document
Publikováno v:
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics, Elsevier, 2018, 337, pp.341-353. ⟨10.1016/j.cam.2018.01.005⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Journal of Computational and Applied Mathematics, Elsevier, 2018, 337, pp.341-353. ⟨10.1016/j.cam.2018.01.005⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] This work investigates the characterization of bright lesions in retinal fundus images using texture analysis techniques. Exudates and drusen are evidences of retinal damage in diabetic retinopathy (DR) and age-related macular degeneration (AMD)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ee4cb2c96fbf13e8b67e3ad48757cad
https://hal.archives-ouvertes.fr/hal-03295707
https://hal.archives-ouvertes.fr/hal-03295707
Publikováno v:
Computers and Electrical Engineering
Computers and Electrical Engineering, Elsevier, 2018, 68, pp.181-191. ⟨10.1016/j.compeleceng.2018.04.004⟩
Computers and Electrical Engineering, Elsevier, 2018, 68, pp.181-191. ⟨10.1016/j.compeleceng.2018.04.004⟩
The classification of subjects with different stages of knee OsteoArthritis (OA) using bone texture analysis is a challenging task in medical imaging. This paper presents a new approach for texture analysis of radiographic OA in knee X-ray images. Fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9410ba704c198e43ad5b09a5cd367b7e
https://hal.archives-ouvertes.fr/hal-03295747
https://hal.archives-ouvertes.fr/hal-03295747
Publikováno v:
2017 2nd International Conference on Bio-engineering for Smart Technologies (BioSMART).
High-Resolution peripheral Quantitative Computed Tomography (HR-pQCT) is currently used to quantify bone microstructure but as a CT modality there is potential to exploit its power to measure muscle tissues as well. Currently, there is no established
Publikováno v:
Osteoarthritis and Cartilage
Osteoarthritis and Cartilage, Elsevier, 2018, 26 (6), pp.e6-e7. ⟨10.1016/j.joca.2018.02.903⟩
Osteoarthritis and Cartilage, Elsevier, 2018, 26 (6), pp.e6-e7. ⟨10.1016/j.joca.2018.02.903⟩
International audience
Autor:
T, Janvier, R, Jennane, A, Valery, K, Harrar, M, Delplanque, C, Lelong, D, Loeuille, H, Toumi, E, Lespessailles
Publikováno v:
Osteoarthritis and cartilage. 25(2)
To examine whether trabecular bone texture (TBT) parameters assessed on computed radiographs could predict knee osteoarthritis (OA) progression.This study was performed using data from the Osteoarthritis Initiative (OAI). 1647 knees in 1124 patients
Publikováno v:
IPTA
This paper presents a preliminary study of the influence of the positioning of Regions Of Interest (ROI) for the characterization of bone texture on radiographs for the diagnosis of knee OsteoArthritis (OA) progression. Characterization of the bone t