Automatic task recognition in a flexible endoscopy benchtop trainer with semi-supervised learning.
Fiche publication
Date publication
juin 2020
Journal
International journal of computer assisted radiology and surgery
Auteurs
Membres identifiés du Cancéropôle Est :
Pr MARESCAUX Jacques
Tous les auteurs :
Bencteux V, Saibro G, Shlomovitz E, Mascagni P, Perretta S, Hostettler A, Marescaux J, Collins T
Lien Pubmed
Résumé
Inexpensive benchtop training systems offer significant advantages to meet the increasing demand of training surgeons and gastroenterologists in flexible endoscopy. Established scoring systems exist, based on task duration and mistake evaluation. However, they require trained human raters, which limits broad and low-cost adoption. There is an unmet and important need to automate rating with machine learning.
Mots clés
Benchtop simulator, Education, Flexible endoscopy, Phase recognition, Semi-supervised learning, Skill
Référence
Int J Comput Assist Radiol Surg. 2020 Jun 26;: