Compensating for Quasi-periodic Motion in Robotic Radiosurgery outlines the techniques needed to accurately track and compensate for respiratory and pulsatory motion during robotic radiosurgery. The algorithms presented within the book aid in the treatment of tumors that move during respiration.
In Chapters 1 and 2, the book introduces the concept of stereotactic body radiation therapy, motion compensation strategies and the clinical state-of-the-art. In Chapters 3 through 5, the author describes and evaluates new methods for motion prediction, for correlating external motion to...
Compensating for Quasi-periodic Motion in Robotic Radiosurgery outlines the techniques needed to accurately track and compensate for respira...
Compensating for Quasi-periodic Motion in Robotic Radiosurgery outlines the techniques needed to accurately track and compensate for respiratory and pulsatory motion during robotic radiosurgery. The algorithms presented within the book aid in the treatment of tumors that move during respiration.
In Chapters 1 and 2, the book introduces the concept of stereotactic body radiation therapy, motion compensation strategies and the clinical state-of-the-art. In Chapters 3 through 5, the author describes and evaluates new methods for motion prediction, for correlating external motion to...
Compensating for Quasi-periodic Motion in Robotic Radiosurgery outlines the techniques needed to accurately track and compensate for respira...
This book provides a thorough background to the emerging field of medical robotics. It covers the mathematics needed to understand the use of robotic devices in medicine, including but not limited to robot kinematics, hand-eye and robot-world calibration, reconstruction, registration, motion planning, motion prediction, motion correlation, motion replication and motion learning. Additionally, basic methods behind state-of-the art robots like the DaVinci system, the CyberKnife, motorized C-arms and operating microscopes as well as stereotactic frames are presented. The book is a text book...
This book provides a thorough background to the emerging field of medical robotics. It covers the mathematics needed to understand the use of robot...
Künstliche Intelligenz wird unser Leben nachhaltig verändern - sowohl im Job als auch im Privaten. Doch wie funktioniert maschinelles Lernen eigentlich genau? Dieser Frage gehen die Autoren in ihrem englischsprachigen Lehrbuch nach. Sie vermitteln die notwendigen Grundlagen für den Einsatz von Support Vector Machines beispielsweise durch die lineare Programmierung, den Lagrange-Multiplikator, Kernels und den SMO-Algorithmus. Auch auf Neuronale Netze, evolutionäre Algorithmen und Bayessche Netze gehen sie ein. Definitionen sind im Buch hervorgehoben und...
Künstliche Intelligenz begreifen
Künstliche Intelligenz wird unser Leben nachhaltig verändern - sowohl im Job als auch im Privaten. Doch w...