Optical reservoir computing for lung tumor movement prediction in radiation therapy applications Conference Paper
| Authors: | Hollingsworth, A.; McDonald, N.; Ji, W.; Shi, C.; Beninati, S.; Huang, Z. R. |
| Title: | Optical reservoir computing for lung tumor movement prediction in radiation therapy applications |
| Conference Title: | Frontiers in Optics |
| Abstract: | An optical reservoir computer (ORC) is used to predict the motion of lung tumors during radiation therapy procedures. The ORC shows comparable accuracy to traditional neural networks with vastly increased computation speed and training time. © 2019 The Author(s) |
| Keywords: | radiotherapy; lung tumor; tumors; biological organs; motion estimation; computation speed; movement prediction; reservoir computing; training time |
| Journal Title | OSA Technical Digest |
| Volume: | Part F144-FiO 2019 |
| Conference Dates: | 2019 Sep 15-19 |
| Conference Location: | Washington, DC |
| ISBN: | 978-1-943580-67-5 |
| Publisher: | Optical Society of America |
| Date Published: | 2019-01-01 |
| Start Page: | FTh3F.7 |
| Language: | English |
| DOI: | 10.1364/FIO.2019.FTh3F.7 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Conference Paper -- Export Date: 1 June 2020 -- Source: Scopus |
