Dataset for the publication entitled "Validation of a novel low-fidelity virtual reality simulator and artificial intelligence assessment approach for peg transfer laparoscopic training"

Published: 6 July 2023| Version 1 | DOI: 10.17632/ncy5btsk4m.1
Contributors:
Peter Bogar, Mark Virag, Matyas Bene, Peter Hardi, Andras Matuz, Adam Schlegl, Luca Toth, Ferenc Molnar, Balint Nagy, Szilard Rendeki, Krisztina Juhos, Andrea Ferencz, Krisztina Fischer, Peter Maroti

Description

Complete dataset for the publication entitled "Validation of a novel low-fidelity virtual reality simulator and artificial intelligence assessment approach for peg transfer laparoscopic training": "Datasets.zip": This file contains the annotated datasets that were used for the training and testing of the object detection model. The annotations are in YOLO format. "Evaluation sheet.xlsx": This file contains the evaluation form that the experts had to fill in during the evaluation. "Likert scale questions".xlsx: This file contains the questions of the five points Likert scale about the VR simulator. Virtual reality (VR) simulator related files: "Operating room.jpg": This is an edited and optimized 360° photo about an operating room. Created by the research team. "Dissector.fbx": This is the 3D model of a Maryland dissector, created by the research team. "Rubber.fbx": This is the 3D model of the object that was used during the peg transfer exercise. The model was created by the research team. "VR simulator box.fbx": This is the 3D model of the trainer box that was used with the VR simulator. "VR simulator controller modifier.mf": This is the 3D model of the object that allows the VR controller to be converted into a laparoscopic instrument. Please, upon citation, refer to the original article as well.

Files

Institutions

Pecsi Tudomanyegyetem Altalanos Orvostudomanyi Kar

Categories

Meta Dataset

Licence