This thesis lays the groundwork for the automaticsupervision of the laser incision process, which aims to complement surgeons’perception of the state of tissues and enhance their control over laserincisions. The research problem is formulated as the estimation of variablesthat are representative of the state of tissues during laser cutting. Priorresearch in this area leveraged numerical computation methods that bear a highcomputational cost and are not straightforward to use in a surgical setting.This book proposes a novel solution to this problem, using models inspired bythe ability of experienced surgeons to perform precise and clean laser cutting.It shows that these new models, which were extracted from experimental datausing statistical learning techniques, are straightforward to use in a surgicalsetup, allowing greater precision in laser-based surgical procedures.
Genre: Computing, Graphic Design, Microsoft, Professional & Technical, Medicine, Nonfiction, Technology & Engineering, Science & Maths
Size: 99 pages
Free download for Kindle from 13 February 2020 onward