ROSMA Dataset Enhances Robotic Surgery Analysis
The researchers introduce the ROSMA dataset and methodology in Applied Sciences, facilitating instrument detection and gesture segmentation in robotic surgical tasks. Through manual annotations and a neural network model combining YOLOv4 and LSTM, they achieve high accuracy and generalization capabilities, offering potential applications in surgical data science and beyond.
Muhammad Osamamay Susha Cheriyedath Muhammad Osama Research Findings Applied Sciences Redefines Instrument Detection
Source: azorobotics.com