Vid - 0011-1.mp4 -

: Identified as the best compromise, achieving an Intersection over Union (IoU) of 0.85 while running at over 30 frames per second (FPS), making it suitable for live surgical use.

Gauze Detection and Segmentation in Minimally Invasive Surgery Video Using Convolutional Neural Networks VID - 0011-1.mp4

The video file is a specific sample from the Gauze Detection and Segmentation dataset used in surgical computer vision research. The primary academic paper associated with this video is: : Identified as the best compromise, achieving an

Published in July 2022, this study addresses the critical medical challenge of —specifically surgical gauze left inside patients after laparoscopic procedures. Key Findings of the Paper: : Identified as the best compromise

: Capable of real-time detection but had lower recall (missed some gauze).