Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review

Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review

<p dir="ltr">Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally invasive surgeries (MIS) represents a significant advancement in surgical technology. This systematic review examines 48 studies that utilize advanced DL methods and architectures...

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Bibliographic Details
Main Author:	Fatimaelzahraa Ali Ahmed (22224640) (author)
Other Authors:	Mahmoud Yousef (9900837) (author), Mariam Ali Ahmed (22224643) (author), Hasan Omar Ali (22224646) (author), Anns Mahboob (17337886) (author), Hazrat Ali (421019) (author), Zubair Shah (231886) (author), Omar Aboumarzouk (18427923) (author), Abdulla Al Ansari (14058060) (author), Shidin Balakrishnan (14150580) (author)
Published:	2024
Subjects:	Biomedical and clinical sciences Clinical sciences Engineering Biomedical engineering Health sciences Health services and systems Information and computing sciences Artificial intelligence Deep learning Surgical tool annotation Robotic surgery Minimally invasive surgery Convolutional neural networks U-Net ResNet
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