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A Review on Deep Learning in Minimally Invasive Surgery
2021
IEEE Access
In the last five years, deep learning has attracted great interest in computer-assisted systems for Minimally Invasive Surgery. The straightforward accessibility to images in surgical interventions makes deep neural networks enormously powerful for solving classification problems in complex surgical scenarios. The objective of this work is to provide readers a survey on deep learning models applied to minimally invasive surgery, identifying the different architectures used depending on the
doi:10.1109/access.2021.3068852
fatcat:gfpghqfptzdktlody5z263cdju