Learning the representation of instrument images in laparoscopy videos

Learning the representation of instrument images in laparoscopy videos

Automatic recognition of instruments in laparoscopy videos poses many challenges that need to be addressed, like identifying multiple instruments appearing in various representations and in different lighting conditions, which in turn may be occluded by other instruments, tissue, blood, or smoke. Co...

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Bibliographic Details
Main Authors: Sabrina Kletz, Klaus Schoeffmann, Heinrich Husslein
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:Healthcare Technology Letters
Subjects:
object detection
video signal processing
learning (artificial intelligence)
image classification
gynaecology
surgery
image sequences
convolutional neural nets
image motion analysis
medical image processing
image representation
laparoscopy videos
automatic recognition
recognition approaches
instrument frames
video frames
classification tasks
action recognition
noninstrument images
learned activation patterns
instrument count classifications
transfer learning
adverse event analysis
binary classification
convolutional neural network
googlenet
cholecystectomy
instrument images representation
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0077

Internet

https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0077

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