Supporting Surgical Training with the Help of Computer Vision and Machine Learning Methods

Uproszczony widok
dc.contributor.authorForczmański, Paweł
dc.contributor.authorRyder, Yoonhee C
dc.contributor.authorMott, Nicole M
dc.contributor.authorGross, Christopher L.
dc.contributor.authorYu, Joon B.
dc.contributor.authorRooney, Deborah M.
dc.contributor.authorJeffcoach, David R.
dc.contributor.authorBidwell, Serena
dc.contributor.authorAnidi, Chioma
dc.contributor.authorRosenthal, Lindsay
dc.contributor.authorKim, Grace J.
dc.date.accessioned2023-09-22T10:23:46Z
dc.date.available2023-09-22T10:23:46Z
dc.date.issued2023
dc.description.abstractThe 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.en_EN
dc.identifier.citationForczmański 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.
dc.identifier.doi10.34658/9788366741928.41
dc.identifier.isbn978-83-66741-92-8
dc.identifier.urihttp://hdl.handle.net/11652/4817
dc.identifier.urihttps://doi.org/10.34658/9788366741928.41
dc.language.isoenen_EN
dc.page.numbers. 259-264
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology Pressen_EN
dc.relation.ispartofWojciechowski A. (Ed.), Lipiński P. (Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.
dc.rightsDla wszystkich w zakresie dozwolonego użytkupl_PL
dc.rightsFair use conditionen_EN
dc.rights.licenseLicencja PŁpl_PL
dc.rights.licenseLUT Licenseen_EN
dc.subjectsurgical trainingen_EN
dc.subjectskills evaluationen_EN
dc.subjectlaparoscopic interventionen_EN
dc.subjectcomputer visionen_EN
dc.subjectmachine learningen_EN
dc.subjectobject detectionen_EN
dc.subjectclassificationen_EN
dc.subjectszkolenie chirurgicznepl_PL
dc.subjectocena umiejętnościpl_PL
dc.subjectinterwencja laparoskopowapl_PL
dc.subjectwizja komputerowapl_PL
dc.subjectuczenie maszynowepl_PL
dc.subjectwykrywanie obiektówpl_PL
dc.subjectklasyfikacjapl_PL
dc.titleSupporting Surgical Training with the Help of Computer Vision and Machine Learning Methodsen_EN
dc.typeRozdział - monografiapl_PL
dc.typeChapter - monographen_EN

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