Imperial College London
Alternate

ProfessorDanielRueckert

Faculty of Engineering, Department of Computing

Professor of Visual Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Rueckert:2024:10.1007/978-3-658-44037-4_78,
author = {Rueckert, T and Rieder, M and Feussner, H and Wilhelm, D and Rueckert, D and Palm, C},
doi = {10.1007/978-3-658-44037-4_78},
pages = {298--303},
title = {Smoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-temporal Information},
url = {http://dx.doi.org/10.1007/978-3-658-44037-4_78},
year = {2024}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Heavy smoke development represents an important challenge for operating physicians during laparoscopic procedures and can potentially affect the success of an intervention due to reduced visibility and orientation. Reliable and accurate recognition of smoke is therefore a prerequisite for the use of downstream systems such as automated smoke evacuation systems. Current approaches distinguish between non-smoked and smoked frames but often ignore the temporal context inherent in endoscopic video data. In this work, we therefore present a method that utilizes the pixel-wise displacement from randomly sampled images to the preceding frames determined using the optical flow algorithm by providing the transformed magnitude of the displacement as an additional input to the network. Further, we incorporate the temporal context at evaluation time by applying an exponential moving average on the estimated class probabilities of the model output to obtain more stable and robust results over time. We evaluate our method on two convolutional-based and one state-of-the-art transformer architecture and show improvements in the classification results over a baseline approach, regardless of the network used.
AU  - Rueckert,T
AU  - Rieder,M
AU  - Feussner,H
AU  - Wilhelm,D
AU  - Rueckert,D
AU  - Palm,C
DO  - 10.1007/978-3-658-44037-4_78
EP  - 303
PY  - 2024///
SN  - 1431-472X
SP  - 298
TI  - Smoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-temporal Information
UR  - http://dx.doi.org/10.1007/978-3-658-44037-4_78
ER  -
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