國立虎尾科技大學 |

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.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xix, 99 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Lasers in surgery. -
Online resource:	http://dx.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. - Cham :Springer International Publishing :2016. - xix, 99 p. :ill. (some col.), digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

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:

857217
Lasers in surgery.

LC Class. No.: RD73.L3

Dewey Class. No.: 617.058

Cognitive supervision for robot-assisted minimally invasive laser surgery
LDR:02278nam a2200337 a 4500 001 863665
003 DE-He213
005 20161012152334.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783319303307 $q (electronic bk.)
020 $a 9783319303291 $q (paper)
024 7 $a 10.1007/978-3-319-30330-7 $2 doi
035 $a 978-3-319-30330-7
040 $a GP $c GP
041 0 $a eng
050 4 $a RD73.L3
072 7 $a MQW $2 bicssc
072 7 $a TEC009000 $2 bisacsh
082 0 4 $a 617.058 $2 23
090 $a RD73.L3 $b F445 2016
100 1 $a Fichera, Loris. $3 1107866
245 1 0 $a Cognitive supervision for robot-assisted minimally invasive laser surgery $h [electronic resource] / $c by Loris Fichera.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
300 $a xix, 99 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a 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.
506 $a Open access.
520 $a 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.
650 0 $a Lasers in surgery. $3 857217
650 0 $a Surgical robots. $3 678365
650 1 4 $a Engineering. $3 561152
650 2 4 $a Biomedical Engineering. $3 588771
650 2 4 $a Robotics and Automation. $3 782979
650 2 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Minimally Invasive Surgery. $3 673841
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Springer theses. $3 831604
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-30330-7
950 $a Engineering (Springer-11647)