Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Malik Benmansour"'
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery, 2023, ⟨10.1007/s11548-022-02827-5⟩
International Journal of Computer Assisted Radiology and Surgery, 2023, ⟨10.1007/s11548-022-02827-5⟩
International audience; PURPOSE: Classic methods of surgery skills evaluation tend to classify the surgeon performance in multi-categorical discrete classes. If this classification scheme has proven to be effective, it does not provide in-between eva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87e8cddfd8aa7d7f01156fcb19524b0c
https://hal.science/hal-03970306
https://hal.science/hal-03970306
Autor:
Abed Malti, Malik Benmansour
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030366636
In this paper, we are interested in surgical skill evaluation. We present three artificial recurrent neural networks with a Long Short Term Memory (LSTM) architecture with the purpose of providing an objective assessment of surgeons who performed thr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2083366174c1ead91381cdc3783a8524
https://doi.org/10.1007/978-3-030-36664-3_37
https://doi.org/10.1007/978-3-030-36664-3_37
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030118839
Many studies on surgical skill analysis have reported results on classification of different skills. However, regardless of the classification problem, only few of them have addressed the problem of task evaluation. In this paper, we propose a simple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cf2aa650c7d8d90bae4c42e888305a6
https://doi.org/10.1007/978-3-030-11884-6_15
https://doi.org/10.1007/978-3-030-11884-6_15
Publikováno v:
2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM).
Improving surgical skills through various training programs is critical for healthcare. To reach this goal, it is important to increase the reliability of surgical skills assessment. In this paper we propose an objective and automatic procedure to ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14515ef6c5ee8caf48962ade2d073805
https://doi.org/10.1109/cistem.2018.8613550
https://doi.org/10.1109/cistem.2018.8613550
