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Monitoring tool usage in surgery videos using boosted convolutional and
  recurrent neural networks

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks

4 October 2017
Hassan Al Hajj
M. Lamard
Pierre-Henri Conze
B. Cochener
G. Quellec
ArXivPDFHTML

Papers citing "Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks"

3 / 3 papers shown
Title
Less is More: Surgical Phase Recognition with Less Annotations through
  Self-Supervised Pre-training of CNN-LSTM Networks
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
26
71
0
22 May 2018
Deep image mining for diabetic retinopathy screening
Deep image mining for diabetic retinopathy screening
G. Quellec
K. Charrière
Yassine Boudi
B. Cochener
M. Lamard
MedIm
34
413
0
22 Oct 2016
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic
  Videos
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
168
839
0
09 Feb 2016
1