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Title:

Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art.

Document type:
Journal Article; Review
Author(s):
Rueckert, Tobias; Rueckert, Daniel; Palm, Christoph
Abstract:
In the field of computer- and robot-assisted minimally invasive surgery, enormous progress has been made in recent years based on the recognition of surgical instruments in endoscopic images and videos. In particular, the determination of the position and type of instruments is of great interest. Current work involves both spatial and temporal information, with the idea that predicting the movement of surgical tools over time may improve the quality of the final segmentations. The provision of p...     »
Journal title abbreviation:
Comput Biol Med
Year:
2024
Journal volume:
169
Fulltext / DOI:
doi:10.1016/j.compbiomed.2024.107929
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/38184862
Print-ISSN:
0010-4825
TUM Institution:
Institut für KI und Informatik in der Medizin (Prof. Rückert)
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