Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Cognitive supervision for robot-assi...
~
Fichera, Loris.
Cognitive supervision for robot-assisted minimally invasive laser surgery
Record Type:
Electronic resources : Monograph/item
Title/Author:
Cognitive supervision for robot-assisted minimally invasive laser surgeryby 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$q(electronic bk.)
Cognitive supervision for robot-assisted minimally invasive laser surgery
Fichera, Loris.
Cognitive supervision for robot-assisted minimally invasive laser surgery
[electronic resource] /by Loris Fichera. - Cham :Springer International Publishing :2016. - xix, 99 p. :ill. (some col.), digital ;24 cm. - Springer theses,2190-5053. - Springer theses..
Introduction -- Background: Laser Technology and Applications to Clinical Surgery -- Cognitive Supervision for Transoral Laser Microsurgery -- Learning the Temperature Dynamics During Thermal Laser Ablation -- Modeling the Laser Ablation Process -- Realization of a Cognitive Supervisory System for Laser Microsurgery -- Conclusions and Future Research Directions.
Open access.
This thesis lays the groundwork for the automatic supervision of the laser incision process, which aims to complement surgeons' perception of the state of tissues and enhance their control over laser incisions. The research problem is formulated as the estimation of variables that are representative of the state of tissues during laser cutting. Prior research in this area leveraged numerical computation methods that bear a high computational cost and are not straightforward to use in a surgical setting. This book proposes a novel solution to this problem, using models inspired by the ability of experienced surgeons to perform precise and clean laser cutting. It shows that these new models, which were extracted from experimental data using statistical learning techniques, are straightforward to use in a surgical setup, allowing greater precision in laser-based surgical procedures.
ISBN: 9783319303307$q(electronic bk.)
Standard No.: 10.1007/978-3-319-30330-7doiSubjects--Topical Terms:
345476
Lasers in surgery.
LC Class. No.: RD73.L3
Dewey Class. No.: 617.058
Cognitive supervision for robot-assisted minimally invasive laser surgery
LDR
:02278nmm a2200337 a 4500
001
486674
003
DE-He213
005
20161012152334.0
006
m d
007
cr nn 008maaau
008
161116s2016 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
744752
245
1 0
$a
Cognitive supervision for robot-assisted minimally invasive laser surgery
$h
[electronic resource] /
$c
by Loris Fichera.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
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
345476
650
0
$a
Surgical robots.
$3
275923
650
1 4
$a
Engineering.
$3
210888
650
2 4
$a
Biomedical Engineering.
$3
190464
650
2 4
$a
Robotics and Automation.
$3
357111
650
2 4
$a
User Interfaces and Human Computer Interaction.
$3
274517
650
2 4
$a
Minimally Invasive Surgery.
$3
275872
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Springer theses.
$3
557607
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-30330-7
950
$a
Engineering (Springer-11647)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000125221
電子館藏
1圖書
電子書
EB RD73.L3 F445 2016
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-3-319-30330-7
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login