Academic literature on the topic 'Hématopathologies'
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Journal articles on the topic "Hématopathologies":
Trumel, C., N. Bourges-Abella, and A. Diquelou. "Syndrome anémique en hématopathologie." EMC - Vétérinaire 1, no. 4 (August 2004): 154–74. http://dx.doi.org/10.1016/j.emcvet.2004.05.001.
Gaulard, Philippe. "Pièges et nouveautés en hématopathologie. Conclusion." Annales de Pathologie 32, no. 5 (October 2012): 377–78. http://dx.doi.org/10.1016/j.annpat.2012.07.009.
Diebold, Jacques, Agnès Le Tourneau, Thierry Molina, and Josée Audouin. "Télédiagnostic en différé en hématopathologie. Résultats d'une expérience." Revue Française des Laboratoires 2004, no. 367 (November 2004): 61–67. http://dx.doi.org/10.1016/s0338-9898(04)80290-7.
Gaulard, Philippe. "Pièges et nouveautés en hématopathologie. Introduction et résumé des principaux messages." Annales de Pathologie 32, no. 5 (October 2012): 328–30. http://dx.doi.org/10.1016/j.annpat.2012.07.007.
Parrens, Marie. "Pièges et nouveautés en hématopathologie. Cas no 8 : lymphome T de type angio-immunoblastique." Annales de Pathologie 32, no. 5 (October 2012): 371–76. http://dx.doi.org/10.1016/j.annpat.2012.07.022.
Parrens, Marie. "Pièges et nouveautés en hématopathologie. Cas no 5. Lymphome B à grandes cellules ALK+." Annales de Pathologie 32, no. 5 (October 2012): 351–55. http://dx.doi.org/10.1016/j.annpat.2012.08.001.
Moreau, Anne. "Pièges et nouveautés en hématopathologie. Cas no 7. Lymphome de Hodgkin à prédominance lymphocytaire nodulaire." Annales de Pathologie 32, no. 5 (October 2012): 363–70. http://dx.doi.org/10.1016/j.annpat.2012.07.021.
Brousset, Pierre, Camille Laurent, Lénaïg Mescam, and Luc Xerri. "Nouveautés et nouvelles pratiques en hématopathologie à l’ère de la classification OMS 2016. Pré-test." Annales de Pathologie 39, no. 5 (September 2019): 305–7. http://dx.doi.org/10.1016/j.annpat.2019.06.001.
Molina, Thierry. "Pièges et nouveautés en hématopathologie. Cas no 3. Lymphome à cellules du manteau, variante agressive pléomorphe." Annales de Pathologie 32, no. 5 (October 2012): 341–45. http://dx.doi.org/10.1016/j.annpat.2012.07.017.
Laurent, Camille, and Pierre Brousset. "Nouveautés et nouvelles pratiques en hématopathologie à l’ère de la classification OMS 2016 : cas no 6." Annales de Pathologie 39, no. 5 (September 2019): 331–34. http://dx.doi.org/10.1016/j.annpat.2019.05.003.
Dissertations / Theses on the topic "Hématopathologies":
Bouchama, Lyes. "Apport des techniques d'apprentissage (profond) à la microscopie holographique pour applications médicales." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAS022.
This research is part of the Télécom SudParis (TSP) and TRIBVN/T-life strategic partnership, dedicated to the development of new approaches in optical microscopy, coupled with artificial intelligence, to identify, predict and monitor hematological and parasitological pathologies.In this regard, we developed a prototype microscope based on a computational imaging principle with a synthetic aperture, based on the FPM (Fourier Ptychographic Microscopy) approach. This approach makes it possible to overcome conventional optics' resolution limits, or equivalently access very large fields of view (from 4 to 25 times larger) at fixed resolution. It also enables us to diversify the nature of the data acquired (with phase recording in addition to intensity data).However, despite its promise, the technology faces challenges in widespread adoption and commercialization within the microscopy field, primarily due to constraints such as the time-intensive process required for image acquisition and reconstruction to achieve optimal quality.The research conducted in this thesis has led to substantial advancements in overcoming certain limitations of this technology, leveraging models based on neural networks.We have proposed an efficient automatic refocusing of bimodal images over large fields of view, thanks to post-processing based on a U-Net. We have also proposed an original approach, combining statistical learning and physics-driven optimization to reduce image acquisition and reconstruction times.These frameworks have validated their efficacy by yielding more precise and discriminating diagnoses in the fields of parasitology and haematology.The potential applications of these contributions go far beyond the field of FPM, opening up perspectives in various other fields of computational imaging