Vid - 0011-1.mp4 Instant

: The researchers created a specialized dataset featuring 4,003 hand-labeled frames from laparoscopic videos, including the "VID-0011-1" sequence, to train and test their models. Model Performance :

: 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. VID - 0011-1.mp4

Gauze Detection and Segmentation in Minimally Invasive Surgery Video Using Convolutional Neural Networks : The researchers created a specialized dataset featuring

: Miscounting gauze is a common human error in surgery; this paper proposes an automated AI system to track gauze in real-time using laparoscopic camera feeds. 003 hand-labeled frames from laparoscopic videos