Article

Anatomy Segmentation in Laparoscopic Surgery: Comparison of Machine Learning and Human Expertise – An Experimental Study

2022-11-14

Abstract excerpt

<h4>Structured Abstract</h4> <h4>Background</h4> Lack of anatomy recognition represents a clinically relevant risk in abdominal surgery. Machine learning (ML) methods can help identify visible patterns and risk structures, however, their practical value remains largely unclear. <h4>Materials and Methods</h4> Based on a novel dataset of 13195 laparoscopic images with pixel-wise segmentations of eleven anatomical st...

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Literature Corpus work: 90c0a02e-1773-57c1-8196-f3e099a58d18
DOI: 10.1101/2022.11.11.22282215

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