Artificial Intelligence Alleviates The Tedious Task of Reading Small Bowel Capsule Endoscopy Recordings

Autor: Xavier Dray, Aymeric Becq, Romain Leenhardt, M Souchaud, Aymeric Histace

Publikováno v: European Society of Gastrointestinal Endoscopy Days (ESGE Days)
European Society of Gastrointestinal Endoscopy Days (ESGE Days), Apr 2020, Dublin, Ireland. pp.S235-S236, ⟨10.1055/s-0040-1704737⟩

International audience; Artificial intelligence (AI) is a disruptive technology that has the potential of alleviating the tedious and time-consuming task of reading small bowel (SB) capsule endoscopy (CE) videos. This videocase illustrates the concep

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https://hal.archives-ouvertes.fr/hal-02561091

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Mobile Phones Hematophagous Diptera Surveillance in the field using Deep Learning and Wing Interference Patterns

Autor: Pierre Jacob, C. Simon-Chane, Maurice Tchuente, Aymeric Histace, Olivier Romain, M. Souchaud, Denis Sereno

Publikováno v: VLSI-SoC

Real-time monitoring of hematophagous diptera (such as mosquitoes) populations in the field is a crucial challenge to foresee vaccination campaigns and to restrain potential diseases spreading. However, current methods heavily rely on costly DNA extr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad1dce7890478bd7a2792795f41b9112
https://doi.org/10.1109/vlsi-soc.2018.8644845

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Development of a thermodesorption sensor system for the detection of residual solvents in packaging materials

Autor: M. Souchaud, E. Guichard, Patrick Mielle, E. Kleine-Benne, P. Landy, M. Blaschke

Publikováno v: 3. IEEE conference on sensors
3. IEEE conference on sensors, Oct 2004, Vienne, Austria

Application specific sensor systems (formerly electronic noses) use static headspace for the volatile generation from condensed phase samples. This extraction method is very simple to implement, but suffers many drawbacks, i.e. in terms of efficiency

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb954b206a4608ce0bac0407c2f9b879
https://hal.inrae.fr/hal-02760315