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Cognitive Supervision for Robot-Assi...
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Cognitive Supervision for Robot-Assisted Minimally Invasive Laser Surgery
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Cognitive Supervision for Robot-Assisted Minimally Invasive Laser Surgery/ by Loris Fichera.
Author:
Fichera, Loris.
Description:
XIX, 99 p. 62 illus., 38 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Biomedical engineering. -
Online resource:
https://doi.org/10.1007/978-3-319-30330-7
ISBN:
9783319303307
Cognitive Supervision for Robot-Assisted Minimally Invasive Laser Surgery
Fichera, Loris.
Cognitive Supervision for Robot-Assisted Minimally Invasive Laser Surgery
[electronic resource] /by Loris Fichera. - 1st ed. 2016. - XIX, 99 p. 62 illus., 38 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053. - Springer Theses, Recognizing Outstanding Ph.D. Research,.
Introduction -- Background: Laser Technology and Applications to Clinical Surgery -- Cognitive Supervision for Transoral Laser Microsurgery -- Learning the Temperature Dynamics During Thermal Laser Ablation -- Modeling the Laser Ablation Process -- Realization of a Cognitive Supervisory System for Laser Microsurgery -- Conclusions and Future Research Directions.
Open Access
This thesis lays the groundwork for the automatic supervision of the laser incision process, which aims to complement surgeons’ perception of the state of tissues and enhance their control over laser incisions. The research problem is formulated as the estimation of variables that are representative of the state of tissues during laser cutting. Prior research in this area leveraged numerical computation methods that bear a high computational cost and are not straightforward to use in a surgical setting. This book proposes a novel solution to this problem, using models inspired by the ability of experienced surgeons to perform precise and clean laser cutting. It shows that these new models, which were extracted from experimental data using statistical learning techniques, are straightforward to use in a surgical setup, allowing greater precision in laser-based surgical procedures.
ISBN: 9783319303307
Standard No.: 10.1007/978-3-319-30330-7doiSubjects--Topical Terms:
588770
Biomedical engineering.
LC Class. No.: R856-857
Dewey Class. No.: 610.28
Cognitive Supervision for Robot-Assisted Minimally Invasive Laser Surgery
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Introduction -- Background: Laser Technology and Applications to Clinical Surgery -- Cognitive Supervision for Transoral Laser Microsurgery -- Learning the Temperature Dynamics During Thermal Laser Ablation -- Modeling the Laser Ablation Process -- Realization of a Cognitive Supervisory System for Laser Microsurgery -- Conclusions and Future Research Directions.
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This thesis lays the groundwork for the automatic supervision of the laser incision process, which aims to complement surgeons’ perception of the state of tissues and enhance their control over laser incisions. The research problem is formulated as the estimation of variables that are representative of the state of tissues during laser cutting. Prior research in this area leveraged numerical computation methods that bear a high computational cost and are not straightforward to use in a surgical setting. This book proposes a novel solution to this problem, using models inspired by the ability of experienced surgeons to perform precise and clean laser cutting. It shows that these new models, which were extracted from experimental data using statistical learning techniques, are straightforward to use in a surgical setup, allowing greater precision in laser-based surgical procedures.
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