fig5

Implementation of deep learning-based gauze detection in pancreatic laparoscopic and robotic surgery: an exploratory multicenter evaluation

Figure 5. Examples of false negativity. Different situations causing false negativity were demonstrated, including: (A) Gauze sheltered by tissues or tools; (B) Gauze receiving poor illuminance; and (C) Gauze heavily immersed in blood. The green box indicates ground truth and the red box indicates the prediction output. The blue box indicates gauze not detected by the model.

Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
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