Development and Validation of a Highly Sensitive and Specific Automated Algorithm to Evaluate the Abundance of Bubbles in Small Bowel Capsule Endoscopy

Olivia Pietri (1) , Gada Rezgui (2) , Aymeric Histace (2) , Marine Camus (3, 4) , Isabelle Nion-Larmurier (1) , Einas Abou Ali (1) , Aymeric Becq (1) , Olivier Romain (2) , Ulriikka Chaput (1) , Philippe Marteau (1) , Christian Florent (1) , Xavier Dray (5, 2, 1)

1 CHU Saint-Antoine [AP-HP]
2 ASTRE [Cergy-Pontoise]
3 Hôpital Cochin [AP-HP]
4 UPD5 - Université Paris Descartes - Paris 5
5 UPMC - Université Pierre et Marie Curie - Paris 6 - UFR de Médecine Pierre et Marie Curie

Mots clés: Bubbles detection; Small Bowel; Videocapsule

Domaines: Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]; Hépatologie et Gastroentérologie

Olivia Pietri, Gada Rezgui, Aymeric Histace, Marine Camus, Isabelle Nion-Larmurier, et al.. Development and Validation of a Highly Sensitive and Specific Automated Algorithm to Evaluate the Abundance of Bubbles in Small Bowel Capsule Endoscopy. Endoscopy International Open, 2018, 6 (4), pp.E462-E469. ⟨10.1055/a-0573-1044⟩. ⟨hal-01676027⟩