Université de Reims Champagne-Ardenne
| Centre de Recherche en STIC
+33.(0)3.26.91.33.89
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Software engineer with a specialization in medical image processing, with knowledge of programming development tools and machine learning approaches. Has international experience in France and Switzerland on projects related to medical image processing, in collaboration with hospitals and engineer school of Geneva Switzerland. Currently pursuing a Phd in the CReSTIC research laboratory and General Electric Healthcare.
My research work consisting of performing automatic segmentation of pathological axillary lymph nodes (lymph nodes that have cancer cells) on PET / CT medical images, using deep learning with UNet neural networks. To accomplish this, two working hypotheses are taken into account:
- Take advantage of both the anatomical information from the scanner to detect lymph nodes and the functional information from PET to detect pathological lymph nodes.
- Consider also the regional attributes extracted from component trees from PET images, in order to enrich and merge this information carried by PET to the UNet neural networks in the form of additional channels for learning.
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Ingénieur en informatique avec une spécialisation en traitement d’images médicales, ayant une connaissance des outils de développement en programmation et des approches d’apprentissage. Possède une expérience internationale en France et en Suisse sur des projets pleinement liés au traitement d’images médicales, en collaboration avec des hôpitaux. Actuellement doctorante au sein du laboratoire CReSTIC de Reims et la société General Electric Healthcare.
