A convolutional neural network with a two-stage LSTM model for tool presence detection in laparoscopic videos

Surgical tool presence detection in laparoscopic videos is a challenging problem that plays a critical role in developing context-aware systems in operating rooms (ORs). In this work, we propose a deep learning-based approach for detecting surgical tools in laparoscopic images using a convolutional...

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Bibliographic Details
Main Authors: Tamer Abdulbaki Alshirbaji, Jalal Nour Aldeen, Möller Knut
Format: Article
Language:English
Published: De Gruyter 2020-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2020-0002