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Evaluating Convolutional Neural Network and Hidden Markov Model for Recognising Surgical Phases in Sigmoid Resection

Surgical workflow analysis in laparoscopic surgeries has been studied widely during last years because of its various applications. For example, optimising the schedule of operating rooms (OR) and developing a context-aware system that supports surgical team during the intervention. Surgical phase r...

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Hlavní autoři: Jalal Nour Aldeen, Abdulnaki Alshirbaji Tamer, Möller Knut
Médium: Artigo
Jazyk:Inglês
Vydáno: De Gruyter 2018-09-01
Edice:Current Directions in Biomedical Engineering
Témata:
phase recognition
sigmoid resection
convolutional neural network (cnn)
hidden markov model (hmm)
On-line přístup:https://doi.org/10.1515/cdbme-2018-0099
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