| 000 | 03887nam a22006255i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-30330-7 | ||
| 003 | DE-He213 | ||
| 005 | 20210511121958.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160404s2016 gw | s |||| 0|eng d | ||
| 020 |
_a9783319303307 _9978-3-319-30330-7 |
||
| 024 | 7 |
_a10.1007/978-3-319-30330-7 _2doi |
|
| 050 | 4 | _aR856-857 | |
| 050 | 4 | _aHC79.E5 | |
| 050 | 4 | _aGE220 | |
| 072 | 7 |
_aMQW _2bicssc |
|
| 072 | 7 |
_aTEC059000 _2bisacsh |
|
| 072 | 7 |
_aMQW _2thema |
|
| 082 | 0 | 4 |
_a610.28 _223 |
| 100 | 1 |
_aFichera, Loris. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _96851 |
|
| 245 | 1 | 0 |
_aCognitive Supervision for Robot-Assisted Minimally Invasive Laser Surgery _h[electronic resource] / _cby Loris Fichera. |
| 250 | _a1st ed. 2016. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
| 300 |
_aXIX, 99 p. 62 illus., 38 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 |
|
| 505 | 0 | _aIntroduction -- 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 | 0 | _aOpen Access | |
| 520 | _aThis 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 |
_aBiomedical engineering. _9282 |
|
| 650 | 0 |
_aRobotics. _9481 |
|
| 650 | 0 |
_aAutomation. _9955 |
|
| 650 | 0 |
_aUser interfaces (Computer systems). _91182 |
|
| 650 | 0 |
_aMinimally invasive surgery. _96852 |
|
| 650 | 1 | 4 |
_aBiomedical Engineering and Bioengineering. _0https://scigraph.springernature.com/ontologies/product-market-codes/T2700X _91093 |
| 650 | 2 | 4 |
_aRobotics and Automation. _0https://scigraph.springernature.com/ontologies/product-market-codes/T19020 _9957 |
| 650 | 2 | 4 |
_aUser Interfaces and Human Computer Interaction. _0https://scigraph.springernature.com/ontologies/product-market-codes/I18067 _91183 |
| 650 | 2 | 4 |
_aMinimally Invasive Surgery. _0https://scigraph.springernature.com/ontologies/product-market-codes/H59052 _96853 |
| 710 | 2 |
_aSpringerLink (Online service) _9141 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783319303291 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319303314 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319807812 |
| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 _96854 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-30330-7 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 912 | _aZDB-2-SOB | ||
| 942 |
_cEBK _w1 _xAdministrator Library _y1 _z Administrator Library |
||
| 999 |
_c1405 _d1405 |
||
| 773 | _tSpringer Nature Open Access eBook | ||