Supporting Surgical Training with the Help of Computer Vision and Machine Learning Methods
Data
2023
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
The paper presents a novel concept of laparoscopic skills evaluation
based on the automated analysis of videos recorded during simulationbased
training exercises via an artificial intelligence algorithm. It has been
tested on data collected during the training of actual surgeons. Its performance
is promising, providing an opportunity to build an automatic system
used mainly in developing countries.
Opis
Słowa kluczowe
surgical training, skills evaluation, laparoscopic intervention, computer vision, machine learning, object detection, classification, szkolenie chirurgiczne, ocena umiejętności, interwencja laparoskopowa, wizja komputerowa, uczenie maszynowe, wykrywanie obiektów, klasyfikacja
Cytowanie
Forczmański P., Ryder Y.C., Mott N.M., Gross Ch.L., Yu B.J., Rooney D.M., Jeffcoach D.R., Bidwell S., Anidi Ch., Rosenthal L., Kim G.J., Supporting Surgical Training with the Help of Computer Vision and Machine Learning Methods. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 259-264, ISBN 978-83-66741-92-8, doi:
10.34658/9788366741928.41.