Vid - 0011-1.mp4 ❲2025-2027❳

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, 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 Published in July 2022, this study addresses the

: 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 : Published in July 2022

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