Learning the representation of instrument images in laparoscopy videos.

Kletz, Sabrina; Schoeffmann, Klaus; Husslein, Heinrich

Kletz, Sabrina; Schoeffmann, Klaus; Husslein, Heinrich.

Afiliación

Kletz S; Institute of Information Technology, Klagenfurt University, Austria.
Schoeffmann K; Institute of Information Technology, Klagenfurt University, Austria.
Husslein H; Department of Gynecology and Obstetrics, Medical University of Vienna, Austria.

Healthc Technol Lett ; 6(6): 197-203, 2019 Dec.

Article en En | MEDLINE | ID: mdl-32038857

Palabras clave

GoogLeNet; action recognition; adverse event analysis; automatic recognition; binary classification; cholecystectomy; classification tasks; convolutional neural nets; convolutional neural network; gynaecology; image classification; image motion analysis; image representation; image sequences; instrument count classifications; instrument frames; instrument images representation; laparoscopy videos; learned activation patterns; learning (artificial intelligence); medical image processing; noninstrument images; object detection; recognition approaches; surgery; transfer learning; video frames; video signal processing

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Healthc Technol Lett Año: 2019 Tipo del documento: Article País de afiliación: Austria

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